04What explains the variable geography of equity investment?
The number of equity finance deals and their values varies across the country, with both concentrated in specific cities. But variation does not necessarily indicate that there are “gaps” in equity investment – gaps imply that places are performing below their potential.
Variation could reflect differences in the number and quality of investable SMEs between places. Some places may simply have fewer firms that are ready or suitable for equity investment, especially high-value deals.
This issue has significant policy implications for the Government’s two priorities in this area – the need to increase equity investment nationally and outside of London specifically.
If the variations are gaps (market failures), policy should focus on providing additional equity investment to businesses in the places that are currently overlooked or ignored by equity funders.
But if variation emerges as a result of the firm base, policy should focus less on the geography of finance and the behaviour of investors, and more on improving the number, quality, and the scaling of investable firms – “demand-side” policy to attract more investment to more places.
This section investigates four factors that influence the geography of equity investment: the location of investable firms, the location of investors, the sectors of investable firms in each city, and the ability of businesses to scale and grow in each city.
Both the number of deals and the value of those deals are considered to address whether cities have bigger issues with investors finding firms or the scaling of firms that receive investment.
Investable firms
Only a small number of firms are equity-investable
Small innovative firms that are trying to grow are disproportionately likely to benefit from equity investment. By taking firms already identified as innovative, it becomes possible to identify the location of companies that equity investors might consider for a deal. Box 4 sets out how these ‘investable firms’ are defined in the report.
The number of firms in cities that could plausibly be investable is very small. As Figure 6 shows, Reading and Cambridge are the only two cities where more than 1 per cent of their small firms are equity-investable, followed by London and Oxford (both at 0.8 per cent).
The share of SMEs that are ‘investable’ varies significantly between cities. A small firm in Cambridge is around 14 times as likely to be investable as a small firm in Luton, and close to three times as likely to be investable as one in Leeds.
There is also variation amongst the nine large cities. Across them, on average, 0.4 per cent of small firms are investable. All nine are below the urban average of 0.6 per cent, while Birmingham (0.3 per cent) is half the urban average.
Figure 6: SMEs in some cities are more likely to be investable
Box 4: Estimating the size of a city’s investable firm base
Some studies have identified the number of small firms that could benefit from equity investment as a share of the total small firm base in a place to create a “per SME” measure. But the “per SME” method likely overstates the gap.
Only a very small number of firms are ever likely to apply for or secure equity investment. The distribution of these “investable SMEs” across the country should be the baseline for analysis on the distribution of equity investment.
One way to estimate whether a firm is investable is by identifying its propensity to innovate. There is extensive literature to suggest that more innovative small firms are more likely to seek equity. Their small size and concentration in the ‘intangible’ economy, which is based on ideas rather than products, means they have trouble accessing collateral-based finance. And in some industries, the development process may take longer to commercialise: these businesses cannot generate enough revenue in the short term to repay any loans.
The Data City’s ‘Innovation Score’ for small firms provides a useful mechanism for estimating the base of potentially equity-investable small firms in each city.
Figure 7 compares the sectoral composition of the group of innovative SMEs with the SMEs that have received equity.
Each scatter point represents a sector, as defined by The Data City’s Real-Time Industry Classifications (RTICs). And as shown, there is a correlation between how often a sector appears in both groups of SMEs.
Figure 7: Innovative SMEs have a similar sectoral composition to SMEs that received equity between 2020 and 2024
Source: The Data City; Dealroom; Centre for Cities analysis
This suggests that these innovative SMEs are comparable to the SMEs securing equity deals from a sector perspective, and therefore serve as a better proxy for SMEs relevant to the equity market. In the report, they are referred to as “investable SMEs.”
The size of the investable small firm base is a good predictor of equity investment deals
There is a positive relationship between the number of investable SMEs and the number of equity deals, as shown by Figure 8. The relationship does not show a one-to-one connection as the same business could receive multiple deals as it proceeds from early-stage to late-stage equity finance. But it does suggest the number of investable firms is a significant factor for explaining the geographical variation in equity investment seen between places.
Figure 8: More investable businesses mean more investments
London and Oxbridge attract more equity deals than the size of their investable bases would predict. London is excluded from the chart because its scale would dominate the trendline, but its inclusion reinforces the overall relationship.
The performance of the large cities is mixed. Bristol, Newcastle, Glasgow and Sheffield are above the trend for the number of equity deals. In contrast, Manchester, Leeds and Birmingham attract fewer deals than the size of their investable firm base would predict. Birmingham has about half the number of equity deals, given its number of investable SMEs.
The size of the investable small firm base is strongly associated with the number of equity deals in a city, suggesting that differences in the distribution of investable firms are an important factor shaping the geography of equity investment.
Equity values per investable firm vary more than deals
After controlling for the investable base, the variation in equity values between places is much bigger than the variation in equity deals. Figure 9 shows the total value of all deals in each city by the number of investable small firms.
London has more than three times as much equity value (£13 million) per investable firm than the large city average (£4 million).
Between the large cities, there are significant variations in how much equity value they achieve, given their investable firm base. For example, Bristol attracts £12 million of equity investment per investable small firm, while Birmingham only attracts £1 million.
Figure 9: The deal value gap is significant
Some of the cities that have more equity deals than the size of their investable base would predict, as shown in Figure 8, have lower equity values per deal than the urban average (as shown in Figure 9). For example, Glasgow, Sheffield, and Newcastle have above-average numbers of deals but below-average deal values.
In some cities, lower values per investable SME are a significant challenge to increasing the amount of equity investment flowing into their places. Manchester, for example, has twice the number of investable SMEs and equity deals as Bristol. But because the equity deals it secures tend to be lower value, the two cities receive the same total investment.
The small deals that the large cities secure mean that the total amount of equity investment they receive is relatively low, despite having large numbers of deals and large investable firm bases. They attract less than a tenth of the equity investment that London attracts (£66.5 billion compared to £6.3 billion), less than Oxbridge (£7.7 billion) and a similar amount to the total of all other cities combined (£6.4 billion).
Home bias
The issue of “home bias”, particularly among London-based investors, has been raised as a cause of geographical equity gaps. This rationale is also explicitly cited in the Government’s SME Strategy and used to justify the recent increase in public funding allocated to the British Business Bank (BBB).
The consensus in the academic literature is that investors do typically prefer investing in firms in their own areas. This is because proximity makes it easier for investors to find, assess and monitor firms if they are nearby, and makes it easier for firms to find investors. Some variation should therefore be expected on this basis, especially for smaller deals.
By looking at frequent investors (see Box 5 for definition), it is possible to explore the degree of home bias among some investors.
Investors do have home biases
There is a degree of home bias among all investors. Figure 10 shows that investors are much more likely to invest in their own areas, confirming the wider literature. Investors based in London, Oxbridge and the large cities make more than 50 per cent of their deals in the cities they are based.
Figure 10: Investors prefer to invest in their home areas
Investors without an equivalent “home” have different patterns. Overseas investors are particularly London-focused, with 70 per cent of their deals in London-based firms.
In contrast, public organisations – such as the British Business Bank (BBB) – make 70 per cent of their urban deals in the large cities and other cities. This is not surprising: the BBB, headquartered in Sheffield, has a mandate to focus on places receiving less private investment based on the rationale that they are trying to correct for the home bias of London-based investors.
London has by far the largest number of investors of any domestic group of investors. If some of their home bias is a market failure – that London-based investors are ignoring viable investment opportunities in other places – then it would be a factor in explaining the underperformance of places that are being ignored.
London-based investors invest everywhere
The number of investable SMEs in a city influences how many equity deals it receives. As Figure 11 shows, after accounting for the size of a city’s investable firm base, the home bias of London-based investors is much smaller than the home bias of investors based in large cities.
London-based investors do make more deals per investable firm in London (290 deals per 1,000 investable firms) than they make in large cities (182 deals per 1,000 investable SMEs). But they make even more deals per investable firm in Oxbridge (381 per 1,000 investable SMEs) than they do in London.
Figure 11: Home biases have not caused the gap between London and large cities
Overseas investors are more biased towards London than London-based investors. They make twice as many deals per investable firm in London as in large cities (254 versus 124 per 1,000 investable firms).
Large city-based investors tend to invest more in large cities. Due to the small size of the group, their preference for their own cities cannot be measured. But collectively, they are ten times more likely to invest in a large city (79 deals per 1,000 investable SMEs) than they are in London (8 deals per 1,000 investable SMEs).
But the challenge for large cities is that they do not have enough home-based investors for their home bias to translate into higher amounts of investment. As a result, investable firms in large cities rely on outside investors – 89 per cent of the deals in large cities are made by investors based elsewhere, as opposed to 73 per cent in Oxbridge and 57 per cent in London.
London-based investors are not investing in high-value deals in large cities
Home bias should decrease as deal values increase. Larger value deals tend to go to larger and more mature firms. As these businesses attract the attention of a much wider pool of investors and have much larger investments, the location of the investors should become less significant.
In practice the opposite happens for the large cities. As Figure 12 shows, the home bias of London-based investors for bigger deals (above £4 million) increases to twice the rate at which they invest in bigger deals in large cities (126 versus 56 deals per 1,000 investable SMEs). Yet the preference of London-based investors for Oxbridge higher-value deals remains high (238 per 1,000 investable SMEs).
These trends occur because London-based investors are less likely to invest in higher-value deals in large cities. After accounting for the number of investable SMEs, the number of deals by London-based investors in firms in large cities decreases by 70 per cent once deal values increase above £4 million, compared to a 56 per cent decrease for firms in London.
Figure 12: The home bias is strongest in bigger deals when it should be weakest
The implication is that large cities do not have enough businesses that can secure higher-value deals. There could be several reasons for this. One explanation may be that more firms in large cities, at the later stages of equity fundraising, relocate to places like London and Oxbridge (or overseas) to expand further. Another explanation may be that firms in large cities are struggling to grow and scale.
While investor proximity clearly influences investment decisions, the evidence suggests that home bias alone cannot explain why the geographies of equity deals and values vary.
Box 5: Exploring home bias – methodology for determining investor and firm location
There were 8,072 equity deals between 2020 and 2024 in the UK (see Box 1 for the definition of equity deals). Of those, 6,282 deals have data on the investors.
As Dealroom/The Data City does not provide location data on the investors (individuals or institutions), the analysis relies on web searches to determine their locations.
The analysis includes the locations of 464 “frequent investors”: those with at least one deal a year on average (so five or more deals during the time period). Together, they account for 4,592 of the 8072 deals.
There are three issues to consider in relation to the analysis of “frequent investors.” First, a deal can have multiple investors. So when deals are counted according to the locations of the investors (such as Figure 9), a deal is counted as many times as the number of investors. For example, if a deal has three investors, it will count three times. This is to represent each individual investor’s decision to invest. If three London-based investors invest in a Manchester SME, it is counted as three decisions to invest outside of their home location.
Second, the locations of the investors are based on web searches. If an investor, such as a VC fund or a corporation, has multiple locations, the analysis prioritises its headquarter or its most prominent office in the UK as its home location. If it does not have a UK presence, it is classified as “overseas”. Additionally, public bodies are a separate category. It is technically possible to classify them with the same headquarter method. But these institutions, such as the BBB, often have mandates to spread investment across geographies, which private investors would not. Their separate category reflects their distinct motivations and behaviours in investment decisions.
Third, the analysis groups the locations of the investors in the same way as the deals. There are too few investors outside of London to allow robust city-by-city analysis based on investor location. This limitation restricts how the data can be analysed and interpreted. Aside from London-based investors, in-group investment decisions (e.g. a large city-based investor investing in a large city-based firm) cannot be interpreted strictly as “home bias”. This is the case for Oxbridge, but even more so for large cities because the latter involves more places spread through a larger geography.
A firm can receive multiple deals. When the data is categorised by the location of the firm receiving the investment (e.g. Figures 10 and 11), it is counted as many times as the number of deals. If a firm based in Newcastle receives three deals, it is counted three times in the “large cities” category. This is to reflect the fact that each deal is a separate decision by the investors.
Sectors and capital intensity
A key determinant of equity deal value is the sector of the firm receiving the investment. Some sectors are inherently more capital-intensive than others. For example, firms in life sciences can require more R&D spending and have a longer time to commercialise. As a result, SMEs in capital-intensive sectors are more likely to need equity and they are more likely to need larger amounts of equity investment.
If capital-intensive firms are more concentrated in some cities, these cities should have much larger individual deals, which would help explain the larger variation in deal values per investable firm than in deal numbers.
Capital-intensive equity deals have lower values in large cities
Based on the distribution of each sector across deal values, 14 capital-intensive sectors are identified (see details in Box 6). Across all deals in urban areas, deals in capital-intensive sectors account for 13 per cent of deal values below £4 million. This more than doubles to 30 per cent of deals valued above £4 million.
These capital-intensive sectors are not just over-represented in the higher-value deals – their deal values vary more between places than deal values in other sectors.
Figure 13 shows that deals in capital-intensive sectors have higher values in all four of the city groups, but the difference between London and the large cities in average capital-intensive deals is close to four times (£50 million in London and £13 million in large cities), whereas the difference between London and Oxbridge is just over two times.
Figure 13: Capital-intensive sectors are more likely to have larger deals
This again suggests that large cities face a problem in securing the biggest deals, and this appears to be related to the characteristics of their investable firm base.
Oxbridge has a unique advantage in capital-intensive sectors
A much larger share of Oxbridge’s equity deals are in capital-intensive sectors, as shown in Figure 14.
In these places, about 47 per cent of their deals are in capital-intensive sectors, even though investable firms in these sectors account for only 17 per cent of the investable base. These sectors are 2.7 times as represented in equity deals as in the base. In comparison, other places have a much lower share of their investable base in these sectors (7 to 9 per cent) and in equity deals (8 to 13 per cent).
Figure 14: Cambridge and Oxford have a significant sectoral strength
Oxbridge benefits from more capital-intensive sectors in two ways. Not only are the equity deals in these sectors of higher value than in large cities (albeit not as high as London), they also account for a much larger portion of their total deals.
This helps explain why Oxbridge’s performance is so strong. The nature of businesses receiving deals in these cities distinctly differs to those in other parts of the country. This may also be why the home bias of their investors is so strong, if they have specialised, sector-specific knowledge.
By contrast it suggests that the lack of capital-intensive firms is not necessarily a major problem for the large cities. Their issue is with the performance of capital-intensive businesses, not how many there are nor how many deals they can secure.
Box 6: The list of capital-intensive sectors
Capital-intensive sectors, as defined using Real-Time Industry Codes (RTICs), include:
- Battery Supply Chain
- Biopharmaceutical
- Data Intermediaries
- Energy Storage
- Engineering Biology Application
- Engineering Biology Supply Chain
- Life Sciences
- Modular Construction
- Pharma
- Photonics
- Quantum Economy
- Quantum Technology
- Rehabilitation
- Sensors
In the identified sectors, at least 45 per cent of the deals are above £4 million, which constitute the top 30 per cent of all deals by value.
Turnover and size
Another factor that shapes the value of equity deals is how firms grow and scale.
As a company receiving equity investment grows, it goes through multiple rounds of equity fundraising: from seed fund, to growth fund, to final exit (such as acquisitions by other businesses). The value of the equity deals tends to increase in later rounds of fundraising.
As shown in Figure 15, this pattern is seen in all places (See Box 7 for definitions of stages), but growth through stages varies widely across places.
London has an advantage in firm scaling
From the early stage to exit stage, average deal values in London grow from £3 million to £422 million. In comparison, deals also increase from early to exit stages in large cities. But the increase is from £2 million to £74 million.
So, while deals in London and large cities start with similar values at the early stages, by exit deal values are much larger in London (and Oxbridge) than in large cities.
The ability of firms to scale depends heavily on access to specialised labour markets, management expertise, and networks of professional services such as legal and financial advisors. These agglomeration benefits tend to be strongest in the largest and most specialised innovation clusters. London and Oxbridge appear to provide these advantages more consistently than most large cities, which may help explain why firms located there are more likely to achieve larger later-stage deals.
Figure 15: Later-stage deals in large cities are smaller in value than in London
The scaling challenges in large cities reflect differences in firm performance
As Figure 16 shows, by the growth and exit stages, there are substantial differences between the turnover of equity-receiving firms in different cities. The average turnover for a later-stage equity-backed firm in London is £6.9 million; in Oxbridge, it is £5.5 million in large cities, it is £5.1 million.
Figure 16: SMEs grow larger in London than in the rest of the country
This means in later stages, equity backed firms in London and Oxbridge are on average respectively having 34 per cent and 6 per cent more turnover than those in large cities.
Box 7: Deal types are categorised into stages
Early stage includes Angel, Early VC, Seed and Series A. Mid-growth stage includes Series B-C. Late-growth stage includes Growth Equity Non VC, Growth Equity VC, Late VC, Series D-F. Exit stage includes Acquisition, Buyout, Secondary.
Large cities do not have enough firms to compete with London’s scale
Firm growth can be investigated across each of the cities. Figure 17 shows that London, Oxford and Cambridge have a clear advantage in enabling firms to grow and obtain larger equity deals.
From early to late growth and exit, London’s equity-backed firms increase in value 17 times (from £1.3 million to £22.7 million). The average large city increase is close to 11 times (£0.9 million to £9 million) – half of London’s rate.
Between the large cities, growth from early to late stage and exit varies from four times the initial values in Birmingham to 59 times in Liverpool. Manchester and Bristol – relatively successful large cities for equity investment – firms achieve growth rates of around nine times.
Figure 17: Large cities struggle with business scaling
Across large cities, Liverpool is the strongest performer in terms of value growth. Deals in Liverpool grew from £0.4 million to £22 million. Liverpool’s late-stage firms as a percentage of early-stage firms (16 per cent) was also higher than London (10 per cent).
But only four Liverpool-based firms made it to the late-stage status, because only 25 firms in Liverpool received early-stage equity deals. The same applies in Nottingham – five firms secured late-stage deals with an average value of £13 million from a pool of only 27 early-stage deals.
Scale matters for scaling
Even though some large cities manage to get a higher share of early-stage deals to late-stage deals than London and Oxbridge, they offer less than seven per cent of the early-stage opportunities available in London. Only Manchester has more firms with early-stage deals than Oxbridge.
From the perspective of equity investors, who invest time and money trying to find firms to invest in, this means investing in the large cities is more time-consuming and costly per deal secured when compared to London and Oxbridge. Combined with lower growth prospects for firms in most large cities, the varying geography of equity investment across the country reflects efficient markets for capital rather than market failure.
Improving the equity readiness of the business base is the priority for most cities
These findings call into question the framing of the variation as an “equity gap” market failure. The underperformance of large cities in relation to attracting equity investment is because a smaller share of their small firms are equity-investable, and those that are investable tend to grow less.
Cities that are attracting more equity investment tend to have more equity-investable firms, that are larger and operate in more capital-intensive sectors.
Modelling the impact on total equity investment that a change to the factors identified in the report would have in each large city helps identify the policy priorities for national and local policymakers.
The details of the model are set out in Figure 18. It estimates the additional equity investment that would be unlocked from the four interventions (methodological details of the models in Box 8). The model and the results are a guide rather than a prediction and are not realistic estimates of policy impacts.
The four interventions are:
- Increase the number of deals per investable firms in underperforming large cities to the urban average (£551 million, 0.5 per cent of the national total equity value).
- Increase the number of equity-investable firms by 10 per cent in large cities (£631 million, 0.6 per cent of the national total equity value).
- Increase the equity deal value ratio between early stage and late growth/exit stages to the urban average (£3.7 billion, 3.4 per cent of the national total equity value)
- Increase the number of equity deals in capital-intensive sectors by 10 per cent (£170 million, 0.2 per cent of the national total equity value)
Figure 18: Improving the number and quality of investable firms is more effective than increasing the supply of equity finance
There are three lessons from Figure 18.
First, improving the performance of the large cities would be significant for the total amount of equity investment in the UK. Achieving all pathways would result in an increase of £5 billion (4.7 per cent) to the national total of equity investment. Birmingham, Leeds and Manchester would account for £3.2 billion (65 per cent) of this increase.
Second, scaling firms at the rate of the urban average would be the most impactful intervention in most big cities. This would result in an increase of £3.4 billion to national investment – 73 per cent of the total increase from the four pathways. Realistically, this would be the hardest intervention for policy to address, as so many of the factors that determine the performance and valuation of individual firms are outside the direct control of policymakers.
Third, sectoral change towards more capital-intensive industries would not have a big impact in the big cities. This may be because these industries play a bigger role in explaining the strong performance of equity investment in Oxbridge than the underperformance of the large cities. If so, it would have implications for the role of the “IS-8” in the place component of the Industrial Strategy. Large cities do not have a particularly strong presence or advantage in these sectors, so investing more in the IS-8 does not necessarily go together with investing more in large cities.
Box 8: Model methodology
In the first intervention in the model, large cities with equity deals per investable SME below the urban average (as shown by the dotted line in Figure 8) are assumed to have average performance. This generates more deals in five of the nine large cities. These new deals are then multiplied by the average equity deal value in each city to generate the additional equity value.
In the second intervention, the size of the equity-investable firm base of each large city is increased by 10 per cent. The model generates additional deals by applying the existing ratio of equity deals and investable SMEs. These new deals are then multiplied by the average deal value in each city to generate the additional equity value. This intervention is not capped because even with the additional 10 per cent of investable SMEs, none of the large cities would have a share of investable SMEs among all SMEs above the urban average.
In the third intervention, the ratio of average equity deal values between early and late growth/exit stages is increased to the urban average (by increasing the deal value during later stages). The new deal values are then multiplied by the existing deal numbers in each city to generate the additional equity value.
In the last intervention, the number of deals in capital-intensive sectors is increased by 10 per cent in each city (the overall number of deals is held constant). The new deals in capital-intensive and other sectors are then multiplied by the respective sector average deal value to generate the additional equity value.
Policies to increase equity investment in big cities face trade-offs
These findings present challenges to aspects of the Government’s policy approach that prioritise supply-side measures to increase equity investment for firms in cities outside the Greater South East.
Without improving the quality and quantity of investable firms in these cities, the additional capital may not find suitable firms to invest in. This could result in deals with subpar firms, or the crowding out of deals that would have been made by private investors.
Further complicating the emphasis on increasing the amount of public money available for equity investment is the Government’s other priority, as set out in the Industrial Strategy, of supporting firms in IS8 sectors to grow.
For example, a temptation might be to stipulate that to receive public-backed investment, firms need to be based in a particular city, and operate in a particular IS-8 sector. These sorts of combined requirements would reduce the ability of firms with growth potential to qualify for support, and risk focusing support on inherently weak firms that happen to comply with the checklist.

