Financial Institutions (FISI) Cash from Operations (2010 - 2026)
Financial Institutions (FISI) reported Cash from Operations of $22.66 million for Q2 2026, compared with -$5.73 million a year earlier and down 4.3% from the prior quarter.
Financial Institutions (FISI) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Financial Institutions' Cash from Operations came in at $60.87 million, up 82.0% year-over-year; for FY2025, it came in at $18.8 million, down 75.6% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- By year, Cash from Operations came in at $77.13 million in FY2024 (+608.0%), $10.89 million in FY2023 (-91.8%), $133.57 million in FY2022 (+83.1%) and $72.96 million in FY2021 (+67.9%).
- Five-year quarterly Cash from Operations spans a low of -$47.67 million in Q4 2023 and a high of $44.19 million in Q1 2022.
- Year over year, Cash from Operations gained in 1 of the last four quarters, with growth averaging 0.6%.
- The high point for year-over-year Cash from Operations in five years was Q2 2024 (growth of 332.3%); the low point was Q3 2024 (a decline of 95.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $23.69 million (Q1 2026), $21.4 million (Q4 2025) and -$6.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 33.16 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | -6.50 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | -46.02 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 25.17 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 4.18 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 8.87 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Financial Institutions | 832.86 Mn | 353.54 Mn | - | 22.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.66 Mn |
| Mar 31, 2026 | 23.69 Mn |
| Dec 31, 2025 | 21.40 Mn |
| Sep 30, 2025 | -6.88 Mn |
| Jun 30, 2025 | -5.73 Mn |
| Mar 31, 2025 | 10.01 Mn |
| Dec 31, 2024 | 27.02 Mn |
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 35.67 Mn |
| Mar 31, 2024 | 12.29 Mn |
| Dec 31, 2023 | -47.67 Mn |
| Sep 30, 2023 | 43.75 Mn |
| Jun 30, 2023 | 8.25 Mn |
| Mar 31, 2023 | 6.56 Mn |
| Dec 31, 2022 | 16.15 Mn |
| Sep 30, 2022 | 35.64 Mn |
| Jun 30, 2022 | 37.59 Mn |
| Mar 31, 2022 | 44.19 Mn |
| Dec 31, 2021 | 33.50 Mn |
| Sep 30, 2021 | 8.52 Mn |
Financial Institutions Cash from Operations 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=cash-from-operations&ticker=FISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();