Orrstown Financial Services (ORRF) Goodwill & Intangibles (2009 - 2026)
Orrstown Financial Services' Goodwill & Intangibles was $103.37 million in Q2 2026, down 8.2% from $112.55 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Orrstown Financial Services came in at $107.79 million, down 7.0% from FY2024.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $115.87 million in FY2024 (+448.2%), $21.14 million in FY2023 (-3.0%), $21.8 million in FY2022 (-4.8%) and $22.91 million in FY2021 (-5.3%).
- The Q2 2026 figure marks the lowest quarterly Goodwill & Intangibles since Q2 2024.
- Compared with a year earlier, Goodwill & Intangibles has declined for four straight quarters, with growth averaging 219.1% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2024 (growth of 448.2%); the worst was Q2 2026 (a decline of 8.2%).
- Per Business Quant data, ORRF's Goodwill & Intangibles in the three quarters before Q2 2026 was $105.55 million (Q1 2026), $107.79 million (Q4 2025) and $110.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Orrstown Financial Services | 871.80 Mn | 290.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.26 Mn |
| Jun 30, 2026 | 103.37 Mn |
| Mar 31, 2026 | 105.55 Mn |
| Dec 31, 2025 | 107.79 Mn |
| Sep 30, 2025 | 110.14 Mn |
| Jun 30, 2025 | 112.55 Mn |
| Mar 31, 2025 | 113.34 Mn |
| Dec 31, 2024 | 115.87 Mn |
| Sep 30, 2024 | 116.84 Mn |
| Jun 30, 2024 | 20.70 Mn |
| Mar 31, 2024 | 20.91 Mn |
| Dec 31, 2023 | 21.14 Mn |
| Sep 30, 2023 | 21.37 Mn |
| Jun 30, 2023 | 21.31 Mn |
| Mar 31, 2023 | 21.55 Mn |
| Dec 31, 2022 | 21.80 Mn |
| Sep 30, 2022 | 22.04 Mn |
| Jun 30, 2022 | 22.31 Mn |
| Mar 31, 2022 | 22.59 Mn |
| Dec 31, 2021 | 22.91 Mn |
API Access
Orrstown Financial Services Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();