Orrstown Financial Services (ORRF) Amortization - Intangibles (2010 - 2026)
Orrstown Financial Services' Amortization - Intangibles came in at $2.18 million for Q2 2026, down 11.9% from $2.47 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orrstown Financial Services reported Amortization - Intangibles of $9.21 million, down 10.7% year-over-year; for FY2025, it was $9.8 million, up 70.7% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 43.7% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $5.74 million in FY2024 (+502.5%), $953,000 in FY2023 (-13.8%), $1.11 million in FY2022 (-15.0%) and $1.3 million in FY2021 (-18.8%).
- The Q2 2026 figure represents the lowest quarterly Amortization - Intangibles since Q2 2024.
- Year-over-year, Amortization - Intangibles has declined for four consecutive quarters, with growth averaging 187.8% over the last five quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q3 2024 (growth of 980.7%), and the weakest in Q4 2022 (a decline of 20.7%).
- Business Quant data shows ORRF's Amortization - Intangibles at $2.24 million (Q1 2026), $2.38 million (Q4 2025) and $2.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Orrstown Financial Services | 798.20 Mn | 798.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Mn |
| Mar 31, 2026 | 2.24 Mn |
| Dec 31, 2025 | 2.38 Mn |
| Sep 30, 2025 | 2.41 Mn |
| Jun 30, 2025 | 2.47 Mn |
| Mar 31, 2025 | 2.54 Mn |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 2.46 Mn |
| Jun 30, 2024 | 215,000.00 |
| Mar 31, 2024 | 225,000.00 |
| Dec 31, 2023 | 236,000.00 |
| Sep 30, 2023 | 228,000.00 |
| Jun 30, 2023 | 239,000.00 |
| Mar 31, 2023 | 250,000.00 |
| Dec 31, 2022 | 260,000.00 |
| Sep 30, 2022 | 272,000.00 |
| Jun 30, 2022 | 281,000.00 |
| Mar 31, 2022 | 292,000.00 |
| Dec 31, 2021 | 328,000.00 |
| Sep 30, 2021 | 314,000.00 |
API Access
Orrstown Financial Services Amortization - 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=amortization-intangibles&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();