Orange County Bancorp (OBT) EBIT (2020 - 2026)
Orange County Bancorp (OBT) recorded EBIT of $17.69 million in Q2 2026, down 18.4% from $21.67 million a year earlier and down 16.2% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) EBIT (2020 - 2026) Analysis & Trends
On a TTM basis, Orange County Bancorp's EBIT came in at $80.04 million as of Jun 30, 2026, up 11.5% year-over-year; for FY2025, it came in at $82.48 million, up 17.4% from FY2024.
- Annual EBIT has increased for five straight years, with a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $70.28 million in FY2024 (+5.6%), $66.53 million in FY2023 (+82.7%), $36.41 million in FY2022 (+18.8%) and $30.65 million in FY2021 (+59.3%).
- The Q2 2026 figure is the lowest quarterly EBIT since Q3 2024.
- On a year-over-year basis, EBIT rose in four of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for EBIT in the last five years was growth of 427.0% in Q2 2023, against a decline of 53.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.11 million (Q1 2026), $20.64 million (Q4 2025) and $20.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 19.01 Bn |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 17.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.69 Mn |
| Mar 31, 2026 | 21.11 Mn |
| Dec 31, 2025 | 20.64 Mn |
| Sep 30, 2025 | 20.60 Mn |
| Jun 30, 2025 | 21.67 Mn |
| Mar 31, 2025 | 19.57 Mn |
| Dec 31, 2024 | 18.10 Mn |
| Sep 30, 2024 | 12.47 Mn |
| Jun 30, 2024 | 18.62 Mn |
| Mar 31, 2024 | 21.09 Mn |
| Dec 31, 2023 | 20.12 Mn |
| Sep 30, 2023 | 18.89 Mn |
| Jun 30, 2023 | 18.37 Mn |
| Mar 31, 2023 | 9.15 Mn |
| Dec 31, 2022 | 14.33 Mn |
| Sep 30, 2022 | 11.14 Mn |
| Jun 30, 2022 | 3.49 Mn |
| Mar 31, 2022 | 7.53 Mn |
| Dec 31, 2021 | 8.06 Mn |
| Sep 30, 2021 | 7.91 Mn |
API Access
Orange County Bancorp EBIT 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=ebit&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();