Eagle Bancorp (EGBN) Cash from Operations (2010 - 2026)
Eagle Bancorp (EGBN) recorded Cash from Operations of $32.38 million in Q2 2026, compared with -$28.62 million a year earlier and up 117.7% from the prior quarter.
Eagle Bancorp (EGBN) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Eagle Bancorp's Cash from Operations came in at $61.18 million as of Jun 30, 2026, down 23.8% year-over-year; for FY2025, it came in at $28.5 million, down 77.0% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of -26.5% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $123.77 million in FY2024 (-36.7%), $195.63 million in FY2023 (+0.4%), $194.9 million in FY2022 (-18.3%) and $238.44 million in FY2021 (+79.1%).
- The Q2 2026 figure is the highest quarterly Cash from Operations since Q1 2025.
- On a year-over-year basis, Cash from Operations rose in 1 of the last four quarters, with an average decline of 48.7%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 440.6% in Q1 2022, against a decline of 95.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.87 million (Q1 2026), -$5.92 million (Q4 2025) and $19.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | -25.28 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 29.04 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | -2.75 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 25.17 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.11 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 6.78 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | -4.20 Bn |
| 10 | Eagle Bancorp | 1.03 Bn | 1.03 Bn | - | 32.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.38 Mn |
| Mar 31, 2026 | 14.87 Mn |
| Dec 31, 2025 | -5.92 Mn |
| Sep 30, 2025 | 19.85 Mn |
| Jun 30, 2025 | -28.62 Mn |
| Mar 31, 2025 | 43.19 Mn |
| Dec 31, 2024 | 10.09 Mn |
| Sep 30, 2024 | 55.59 Mn |
| Jun 30, 2024 | 55.25 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | 56.66 Mn |
| Sep 30, 2023 | 47.42 Mn |
| Jun 30, 2023 | 30.75 Mn |
| Mar 31, 2023 | 60.80 Mn |
| Dec 31, 2022 | 55.28 Mn |
| Sep 30, 2022 | 15.47 Mn |
| Jun 30, 2022 | 63.31 Mn |
| Mar 31, 2022 | 60.85 Mn |
| Dec 31, 2021 | 13.66 Mn |
| Sep 30, 2021 | 112.89 Mn |
Eagle Bancorp 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=EGBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "EGBN", "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=EGBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();