Orrstown Financial Services (ORRF) Total Liabilities (2010 - 2026)
Orrstown Financial Services' Total Liabilities came in at $4.99 billion for Q2 2026, up 3.1% from $4.84 billion a year earlier and up 0.3% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Orrstown Financial Services' Total Liabilities was $4.95 billion, up 0.5% from FY2024.
- Total Liabilities has increased in each of the last 11 years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $4.92 billion in FY2024 (+75.9%), $2.8 billion in FY2023 (+3.9%), $2.69 billion in FY2022 (+5.1%) and $2.56 billion in FY2021 (+2.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 36.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 76.2%), and the weakest in Q1 2022 (a decline of 2.3%).
- Business Quant data shows ORRF's Total Liabilities at $4.97 billion (Q1 2026), $4.95 billion (Q4 2025) and $4.9 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - | 4.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.99 Bn |
| Mar 31, 2026 | 4.97 Bn |
| Dec 31, 2025 | 4.95 Bn |
| Sep 30, 2025 | 4.90 Bn |
| Jun 30, 2025 | 4.84 Bn |
| Mar 31, 2025 | 4.91 Bn |
| Dec 31, 2024 | 4.92 Bn |
| Sep 30, 2024 | 4.95 Bn |
| Jun 30, 2024 | 2.92 Bn |
| Mar 31, 2024 | 2.91 Bn |
| Dec 31, 2023 | 2.80 Bn |
| Sep 30, 2023 | 2.81 Bn |
| Jun 30, 2023 | 2.76 Bn |
| Mar 31, 2023 | 2.77 Bn |
| Dec 31, 2022 | 2.69 Bn |
| Sep 30, 2022 | 2.63 Bn |
| Jun 30, 2022 | 2.59 Bn |
| Mar 31, 2022 | 2.65 Bn |
| Dec 31, 2021 | 2.56 Bn |
| Sep 30, 2021 | 2.60 Bn |
API Access
Orrstown Financial Services Total Liabilities 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=total-liabilities&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();