Orange County Bancorp (OBT) EPS (Diluted) (2020 - 2026)
Orange County Bancorp (OBT) reported EPS (Diluted) of $1.02 for Q2 2026, up 17.0% from $0.87 a year earlier and up 20.8% from the prior quarter.
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Analysis
Orange County Bancorp (OBT) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orange County Bancorp's EPS (Diluted) came in at $3.54, up 43.8% year-over-year; for FY2025, it was $3.33, up 34.9% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $2.47 in FY2024 (-5.8%), $2.62 in FY2023 (+20.8%), $2.17 in FY2022 (+1.2%) and $2.14 in FY2021 (+65.4%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q3 2020.
- Year over year, EPS (Diluted) has now increased in each of the last five quarters, with growth averaging 23.0% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2023 (growth of 329.8%); the low point was Q2 2022 (a decline of 67.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.85 (Q1 2026), $0.99 (Q4 2025) and $0.75 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 0.00 |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2.00 |
| 10 | Orange County Bancorp | 505.21 Mn | 505.21 Mn | - | 1.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 |
| Mar 31, 2026 | 0.85 |
| Dec 31, 2025 | 0.99 |
| Sep 30, 2025 | 0.75 |
| Jun 30, 2025 | 0.87 |
| Mar 31, 2025 | 0.77 |
| Dec 31, 2024 | 0.63 |
| Sep 30, 2024 | 0.28 |
| Jun 30, 2024 | 0.73 |
| Mar 31, 2024 | 0.82 |
| Dec 31, 2023 | 0.72 |
| Sep 30, 2023 | 0.80 |
| Jun 30, 2023 | 0.81 |
| Mar 31, 2023 | 0.29 |
| Dec 31, 2022 | 0.81 |
| Sep 30, 2022 | 0.70 |
| Jun 30, 2022 | 0.19 |
| Mar 31, 2022 | 0.47 |
| Dec 31, 2021 | 0.55 |
| Sep 30, 2021 | 0.53 |
API Access
Orange County Bancorp EPS (Diluted) 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=eps-diluted&ticker=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();