Orrstown Financial Services (ORRF) Securities - Tradable (2010 - 2026)
Orrstown Financial Services (ORRF) recorded Securities - Tradable of $949.28 million in Q2 2026, up 7.2% from $885.37 million a year earlier and up 0.2% from the prior quarter.
Orrstown Financial Services (ORRF) Securities - Tradable (2010 - 2026) Analysis & Trends
At the end of FY2025, Orrstown Financial Services reported Securities - Tradable of $952.74 million, up 14.8% from FY2024.
- Annual Securities - Tradable has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier years, Securities - Tradable came in at $829.71 million in FY2024 (+61.6%), $513.52 million in FY2023 (unchanged), $513.73 million in FY2022 (+8.7%) and $472.44 million in FY2021 (+1.3%).
- Quarterly Securities - Tradable has ranged from $445.02 million in Q3 2021 to $952.74 million in Q4 2025 over the past five years.
- On a year-over-year basis, Securities - Tradable has increased for nine consecutive quarters, with growth averaging 37.8% over the last eight quarters.
- Peak year-over-year performance for Securities - Tradable in the last five years was growth of 67.3% in Q2 2025, against a decline of 7.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $947.02 million (Q1 2026), $952.74 million (Q4 2025) and $890.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 949.28 Mn |
| Mar 31, 2026 | 947.02 Mn |
| Dec 31, 2025 | 952.74 Mn |
| Sep 30, 2025 | 890.36 Mn |
| Jun 30, 2025 | 885.37 Mn |
| Mar 31, 2025 | 855.46 Mn |
| Dec 31, 2024 | 829.71 Mn |
| Sep 30, 2024 | 826.83 Mn |
| Jun 30, 2024 | 529.08 Mn |
| Mar 31, 2024 | 514.91 Mn |
| Dec 31, 2023 | 513.52 Mn |
| Sep 30, 2023 | 495.16 Mn |
| Jun 30, 2023 | 508.61 Mn |
| Mar 31, 2023 | 520.23 Mn |
| Dec 31, 2022 | 513.73 Mn |
| Sep 30, 2022 | 503.60 Mn |
| Jun 30, 2022 | 512.70 Mn |
| Mar 31, 2022 | 529.73 Mn |
| Dec 31, 2021 | 472.44 Mn |
| Sep 30, 2021 | 445.02 Mn |
Orrstown Financial Services Securities - Tradable 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=securities-tradable&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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=securities-tradable&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();