Financial Institutions (FISI) Enterprise Value (2010 - 2026)
Financial Institutions (FISI) posted Enterprise Value of $768.15 million for Q3 2026, up 112.4% from $361.61 million a year earlier and up 14.9% from the prior quarter.
Powered by 
Analysis
Financial Institutions (FISI) Enterprise Value (2010 - 2026) Analysis & Trends
For FY2025, Financial Institutions' Enterprise Value came in at $503.25 million, up 40.4% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Financial Institutions' Enterprise Value was $358.54 million in FY2024 (+76.0%), $203.76 million in FY2023 (-45.6%), $374.55 million in FY2022 (-26.8%) and $511.97 million in FY2021 (+43.9%).
- The Q3 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q3 2010.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 49.5% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2026, with growth of 112.4%; the weakest was Q4 2023, with a decline of 45.6%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $668.78 million (Q2 2026), $538.8 million (Q1 2026) and $503.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Financial Institutions | 832.86 Mn | 353.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 668.78 Mn |
| Mar 31, 2026 | 538.80 Mn |
| Dec 31, 2025 | 503.25 Mn |
| Sep 30, 2025 | 361.61 Mn |
| Jun 30, 2025 | 423.89 Mn |
| Mar 31, 2025 | 334.59 Mn |
| Dec 31, 2024 | 358.54 Mn |
| Sep 30, 2024 | 394.13 Mn |
| Jun 30, 2024 | 298.93 Mn |
| Mar 31, 2024 | 290.71 Mn |
| Dec 31, 2023 | 203.76 Mn |
| Sep 30, 2023 | 259.23 Mn |
| Jun 30, 2023 | 242.42 Mn |
| Mar 31, 2023 | 310.41 Mn |
| Dec 31, 2022 | 374.55 Mn |
| Sep 30, 2022 | 369.11 Mn |
| Jun 30, 2022 | 398.99 Mn |
| Mar 31, 2022 | 460.96 Mn |
| Dec 31, 2021 | 511.97 Mn |
| Sep 30, 2021 | 485.43 Mn |
API Access
Financial Institutions Enterprise Value API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=enterprise-value&ticker=FISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "FISI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();