Orange County Bancorp (OBT) Cash from Operations (2020 - 2026)
Orange County Bancorp (OBT) reported Cash from Operations of $12.58 million for Q2 2026, compared with -$4.95 million a year earlier and up 23.0% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Cash from Operations (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orange County Bancorp's Cash from Operations came in at $66.78 million, up 190.8% year-over-year; for FY2025, it came in at $43.85 million, up 26.7% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 31.1% (FY2020 to FY2025).
- By year, Cash from Operations came in at $34.6 million in FY2024 (-22.2%), $44.5 million in FY2023 (+46.0%), $30.48 million in FY2022 (+50.0%) and $20.32 million in FY2021 (+79.1%).
- Five-year quarterly Cash from Operations spans a low of -$4.95 million in Q2 2025 and a high of $30.2 million in Q3 2025.
- Year over year, Cash from Operations gained in four of the last six quarters, with growth averaging 67.1%.
- The high point for year-over-year Cash from Operations in five years was Q3 2025 (growth of 194.7%); the low point was Q1 2024 (a decline of 72.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.23 million (Q1 2026), $13.76 million (Q4 2025) and $30.2 million (Q3 2025).
Peer Set
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 | Orange County Bancorp | 495.42 Mn | 495.42 Mn | - | 12.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.58 Mn |
| Mar 31, 2026 | 10.23 Mn |
| Dec 31, 2025 | 13.76 Mn |
| Sep 30, 2025 | 30.20 Mn |
| Jun 30, 2025 | -4.95 Mn |
| Mar 31, 2025 | 4.84 Mn |
| Dec 31, 2024 | 12.83 Mn |
| Sep 30, 2024 | 10.25 Mn |
| Jun 30, 2024 | 9.27 Mn |
| Mar 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | 16.01 Mn |
| Sep 30, 2023 | 10.88 Mn |
| Jun 30, 2023 | 9.44 Mn |
| Mar 31, 2023 | 8.17 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | 12.76 Mn |
| Jun 30, 2022 | 7.36 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 5.77 Mn |
| Sep 30, 2021 | 7.34 Mn |
API Access
Orange County 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=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "OBT", "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=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();