Orrstown Financial Services (ORRF) Tax Provisions (2010 - 2026)
Orrstown Financial Services (ORRF) posted Tax Provisions of $3.51 million for Q2 2026, down 33.3% from $5.26 million a year earlier and down 38.4% from the prior quarter.
Powered by 
Analysis
Orrstown Financial Services (ORRF) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Orrstown Financial Services was $21.01 million, up 83.9% year-over-year; for FY2025, it was $21.78 million, up 278.4% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- In prior years, Orrstown Financial Services' Tax Provisions was $5.76 million in FY2024 (-38.6%), $9.37 million in FY2023 (+104.6%), $4.58 million in FY2022 (-42.9%) and $8.01 million in FY2021 (+32.5%).
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q4 2024.
- On a year-over-year basis, Tax Provisions increased in five of the last six quarters, with growth averaging 65.7%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 152.0%; the weakest was Q2 2026, with a decline of 33.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $5.69 million (Q1 2026), $6 million (Q4 2025) and $5.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | Orrstown Financial Services | 803.90 Mn | 803.90 Mn | - | 3.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.51 Mn |
| Mar 31, 2026 | 5.69 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 5.81 Mn |
| Jun 30, 2025 | 5.26 Mn |
| Mar 31, 2025 | 4.71 Mn |
| Dec 31, 2024 | 3.45 Mn |
| Sep 30, 2024 | -1.99 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 2.26 Mn |
| Sep 30, 2022 | -1.57 Mn |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 1.80 Mn |
| Sep 30, 2021 | 1.68 Mn |
API Access
Orrstown Financial Services Tax Provisions 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=tax-provisions&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();