Orrstown Financial Services (ORRF) FDIC Insurance (2010 - 2026)
Orrstown Financial Services (ORRF) recorded FDIC Insurance of $627,000 in Q3 2026, down 3.8% from $652,000 a year earlier and down 1.1% from the prior quarter.
Orrstown Financial Services (ORRF) FDIC Insurance (2010 - 2026) Analysis & Trends
On a TTM basis, Orrstown Financial Services' FDIC Insurance came in at $2.49 million as of Sep 30, 2026, down 19.7% year-over-year; for FY2025, it came in at $2.83 million, up 5.8% from FY2024.
- Annual FDIC Insurance has increased for six straight years, with a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- Across earlier years, FDIC Insurance came in at $2.68 million in FY2024 (+36.6%), $1.96 million in FY2023 (+81.0%), $1.08 million in FY2022 (+32.7%) and $816,000 in FY2021 (+19.0%).
- Quarterly FDIC Insurance has ranged from $190,000 in Q2 2022 to $955,000 in Q4 2024 over the past five years.
- On a year-over-year basis, FDIC Insurance has declined for five consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for FDIC Insurance in the last five years was growth of 173.2% in Q2 2023, against a decline of 33.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $634,000 (Q2 2026), $549,000 (Q1 2026) and $683,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Orrstown Financial Services | 856.82 Mn | 856.82 Mn | - | 634,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 634,000.00 |
| Mar 31, 2026 | 549,000.00 |
| Dec 31, 2025 | 683,000.00 |
| Sep 30, 2025 | 652,000.00 |
| Jun 30, 2025 | 674,000.00 |
| Mar 31, 2025 | 824,000.00 |
| Dec 31, 2024 | 955,000.00 |
| Sep 30, 2024 | 862,000.00 |
| Jun 30, 2024 | 419,000.00 |
| Mar 31, 2024 | 441,000.00 |
| Dec 31, 2023 | 460,000.00 |
| Sep 30, 2023 | 477,000.00 |
| Jun 30, 2023 | 519,000.00 |
| Mar 31, 2023 | 504,000.00 |
| Dec 31, 2022 | 316,000.00 |
| Sep 30, 2022 | 294,000.00 |
| Jun 30, 2022 | 190,000.00 |
| Mar 31, 2022 | 283,000.00 |
| Dec 31, 2021 | 246,000.00 |
| Sep 30, 2021 | 218,000.00 |
Orrstown Financial Services FDIC Insurance 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=fdic-insurance&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();