Clipper Realty (CLPR) Property Operating Expenses (2016 - 2026)
Clipper Realty's Property Operating Expenses came in at $9.67 million for Q3 2026, up 4.9% from $9.22 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Clipper Realty (CLPR) Property Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Clipper Realty reported Property Operating Expenses of $38.37 million, up 3.8% year-over-year; for FY2025, it was $37.99 million, up 11.2% from FY2024.
- Property Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Property Operating Expenses was $34.16 million in FY2024 (+11.6%), $30.62 million in FY2023 (+4.5%), $29.31 million in FY2022 (+1.1%) and $29 million in FY2021 (-3.0%).
- The five-year range for quarterly Property Operating Expenses is $6.45 million (Q4 2021) to $10.33 million (Q1 2026).
- Year-over-year, Property Operating Expenses increased in seven of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Property Operating Expenses over five years came in Q2 2024 (growth of 32.6%), and the weakest in Q4 2021 (a decline of 19.5%).
- Business Quant data shows CLPR's Property Operating Expenses at $9.27 million (Q2 2026), $10.33 million (Q1 2026) and $9.1 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Clipper Realty | 54.61 Mn | -141.82 Mn | 9.93 Mn | 9.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.67 Mn |
| Jun 30, 2026 | 9.27 Mn |
| Mar 31, 2026 | 10.33 Mn |
| Dec 31, 2025 | 9.10 Mn |
| Sep 30, 2025 | 9.22 Mn |
| Jun 30, 2025 | 9.56 Mn |
| Mar 31, 2025 | 10.11 Mn |
| Dec 31, 2024 | 8.07 Mn |
| Sep 30, 2024 | 8.48 Mn |
| Jun 30, 2024 | 9.00 Mn |
| Mar 31, 2024 | 8.62 Mn |
| Dec 31, 2023 | 7.81 Mn |
| Sep 30, 2023 | 7.93 Mn |
| Jun 30, 2023 | 6.78 Mn |
| Mar 31, 2023 | 8.10 Mn |
| Dec 31, 2022 | 7.57 Mn |
| Sep 30, 2022 | 7.27 Mn |
| Jun 30, 2022 | 6.93 Mn |
| Mar 31, 2022 | 7.54 Mn |
| Dec 31, 2021 | 6.45 Mn |
API Access
Clipper Realty Property 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=property-operating-expenses&ticker=CLPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "CLPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=CLPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();