One Liberty Properties (OLP) Operating Expenses (2010 - 2026)
One Liberty Properties' Operating Expenses was $17.64 million in Q2 2026, up 12.2% from $15.72 million a year earlier but down 5.6% from the prior quarter.
One Liberty Properties (OLP) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, One Liberty Properties' Operating Expenses was $72.94 million through Jun 30, 2026, up 20.1% year-over-year; for FY2025, it came in at $68.01 million, up 15.9% from FY2024.
- Operating Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $58.67 million in FY2024 (+2.3%), $57.34 million in FY2023 (+4.6%), $54.83 million in FY2022 (+7.0%) and $51.24 million in FY2021 (+0.4%).
- Quarterly Operating Expenses has moved between $12.41 million (Q3 2021) and $19.65 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 18 straight quarters, with growth averaging 12.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 30.8%); the worst was Q3 2021 (a decline of 5.5%).
- Per Business Quant data, OLP's Operating Expenses in the three quarters before Q2 2026 was $18.68 million (Q1 2026), $19.65 million (Q4 2025) and $16.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | One Liberty Properties | 465.13 Mn | 465.31 Mn | - | 17.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.64 Mn |
| Mar 31, 2026 | 18.68 Mn |
| Dec 31, 2025 | 19.65 Mn |
| Sep 30, 2025 | 16.98 Mn |
| Jun 30, 2025 | 15.72 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 15.02 Mn |
| Sep 30, 2024 | 14.32 Mn |
| Jun 30, 2024 | 14.85 Mn |
| Mar 31, 2024 | 14.48 Mn |
| Dec 31, 2023 | 14.33 Mn |
| Sep 30, 2023 | 14.31 Mn |
| Jun 30, 2023 | 14.32 Mn |
| Mar 31, 2023 | 14.38 Mn |
| Dec 31, 2022 | 14.16 Mn |
| Sep 30, 2022 | 13.77 Mn |
| Jun 30, 2022 | 13.50 Mn |
| Mar 31, 2022 | 13.40 Mn |
| Dec 31, 2021 | 12.72 Mn |
| Sep 30, 2021 | 12.41 Mn |
One Liberty Properties Operating Expenses 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=operating-expenses&ticker=OLP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OLP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OLP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();