Orrstown Financial Services (ORRF) Rent Expense (2017 - 2026)
Orrstown Financial Services (ORRF) reported Rent Expense of $1.88 million for Q2 2026, up 12.7% from $1.67 million a year earlier but down 9.5% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Rent Expense (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orrstown Financial Services' Rent Expense came in at $7.78 million, up 7.1% year-over-year; for FY2025, it came in at $7.47 million, up 25.0% from FY2024.
- Rent Expense has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By year, Rent Expense came in at $5.98 million in FY2024 (+37.7%), $4.34 million in FY2023 (-8.2%), $4.73 million in FY2022 (unchanged) and $4.73 million in FY2021 (-0.6%).
- Five-year quarterly Rent Expense spans a low of $1.05 million in Q2 2023 and a high of $2.08 million in Q1 2026.
- Year over year, Rent Expense has now increased in each of the last ten quarters, with growth averaging 33.3% over the last eight quarters.
- The high point for year-over-year Rent Expense in five years was Q3 2024 (growth of 66.9%); the low point was Q1 2023 (a decline of 14.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.08 million (Q1 2026), $1.91 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - | 1.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Mn |
| Mar 31, 2026 | 2.08 Mn |
| Dec 31, 2025 | 1.91 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 1.67 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.14 Mn |
| Sep 30, 2022 | 1.17 Mn |
| Jun 30, 2022 | 1.13 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 1.24 Mn |
| Sep 30, 2021 | 1.15 Mn |
API Access
Orrstown Financial Services Rent Expense 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=rent-expense&ticker=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();