Orrstown Financial Services (ORRF) Wages, Salaries and Other (2009 - 2026)
Orrstown Financial Services (ORRF) recorded Wages, Salaries and Other of $22.4 million in Q3 2026, up 4.5% from $21.44 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a TTM basis, Orrstown Financial Services' Wages, Salaries and Other came in at $87.77 million as of Sep 30, 2026, up 2.5% year-over-year; for FY2025, it came in at $85.17 million, up 11.2% from FY2024.
- Annual Wages, Salaries and Other has increased for 14 straight years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $76.58 million in FY2024 (+50.2%), $50.98 million in FY2023 (+6.2%), $48 million in FY2022 (+9.1%) and $44 million in FY2021 (+1.5%).
- The Q3 2026 figure is the highest quarterly Wages, Salaries and Other since Q4 2024.
- On a year-over-year basis, Wages, Salaries and Other has increased for three consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 111.0% in Q3 2024, against a decline of 21.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.23 million (Q2 2026), $21.16 million (Q1 2026) and $21.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.12 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.75 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Orrstown Financial Services | 871.80 Mn | 290.40 Mn | - | 22.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.40 Mn |
| Jun 30, 2026 | 22.23 Mn |
| Mar 31, 2026 | 21.16 Mn |
| Dec 31, 2025 | 21.98 Mn |
| Sep 30, 2025 | 21.44 Mn |
| Jun 30, 2025 | 21.36 Mn |
| Mar 31, 2025 | 20.39 Mn |
| Dec 31, 2024 | 22.44 Mn |
| Sep 30, 2024 | 27.19 Mn |
| Jun 30, 2024 | 13.20 Mn |
| Mar 31, 2024 | 13.75 Mn |
| Dec 31, 2023 | 12.85 Mn |
| Sep 30, 2023 | 12.89 Mn |
| Jun 30, 2023 | 13.05 Mn |
| Mar 31, 2023 | 12.20 Mn |
| Dec 31, 2022 | 12.65 Mn |
| Sep 30, 2022 | 12.71 Mn |
| Jun 30, 2022 | 11.31 Mn |
| Mar 31, 2022 | 11.34 Mn |
| Dec 31, 2021 | 12.10 Mn |
API Access
Orrstown Financial Services Wages, Salaries and Other 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=wages-salaries-and-other&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "ORRF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();