Enterprise Financial Services (EFSC) Cash from Operations (2010 - 2026)
Enterprise Financial Services (EFSC) reported Cash from Operations of $68.66 million for Q2 2026, up 12.0% from $61.29 million a year earlier and up 17.4% from the prior quarter.
Enterprise Financial Services (EFSC) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enterprise Financial Services' Cash from Operations came in at $219.37 million, down 9.5% year-over-year; for FY2025, it was $193.52 million, down 21.8% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- By year, Cash from Operations came in at $247.4 million in FY2024 (-7.8%), $268.24 million in FY2023 (+23.8%), $216.64 million in FY2022 (+34.9%) and $160.58 million in FY2021 (+18.5%).
- The Q2 2026 figure ranks as the highest quarterly Cash from Operations since Q3 2024.
- Year over year, Cash from Operations gained in four of the last eight quarters, with growth averaging 7.0%.
- The high point for year-over-year Cash from Operations in five years was Q4 2023 (growth of 174.4%); the low point was Q1 2024 (a decline of 56.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58.5 million (Q1 2026), $42.84 million (Q4 2025) and $49.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 68.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.66 Mn |
| Mar 31, 2026 | 58.50 Mn |
| Dec 31, 2025 | 42.84 Mn |
| Sep 30, 2025 | 49.36 Mn |
| Jun 30, 2025 | 61.29 Mn |
| Mar 31, 2025 | 40.02 Mn |
| Dec 31, 2024 | 51.98 Mn |
| Sep 30, 2024 | 89.03 Mn |
| Jun 30, 2024 | 76.51 Mn |
| Mar 31, 2024 | 29.89 Mn |
| Dec 31, 2023 | 78.99 Mn |
| Sep 30, 2023 | 49.47 Mn |
| Jun 30, 2023 | 70.61 Mn |
| Mar 31, 2023 | 69.18 Mn |
| Dec 31, 2022 | 28.78 Mn |
| Sep 30, 2022 | 73.11 Mn |
| Jun 30, 2022 | 64.87 Mn |
| Mar 31, 2022 | 49.88 Mn |
| Dec 31, 2021 | 54.95 Mn |
| Sep 30, 2021 | 40.64 Mn |
Enterprise Financial Services 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=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();