Clipper Realty (CLPR) Real Estate Taxes and Insurance (2016 - 2026)
Clipper Realty's Real Estate Taxes and Insurance was $8.4 million in Q3 2026, up 6.4% from $7.89 million a year earlier and up 13.1% from the prior quarter.
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Analysis
Clipper Realty (CLPR) Real Estate Taxes and Insurance (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Clipper Realty's Real Estate Taxes and Insurance was $30.88 million through Sep 30, 2026, up 0.7% year-over-year; for FY2025, it was $30.39 million, up 2.1% from FY2024.
- Real Estate Taxes and Insurance shows a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In earlier years, Real Estate Taxes and Insurance was $29.77 million in FY2024 (-6.8%), $31.95 million in FY2023 (-1.9%), $32.56 million in FY2022 (+6.9%) and $30.45 million in FY2021 (+7.6%).
- The Q3 2026 figure marks the highest quarterly Real Estate Taxes and Insurance since Q2 2023.
- Compared with a year earlier, Real Estate Taxes and Insurance was higher in six of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Real Estate Taxes and Insurance over five years was Q2 2023 (growth of 10.3%); the worst was Q1 2024 (a decline of 16.4%).
- Per Business Quant data, CLPR's Real Estate Taxes and Insurance in the three quarters before Q3 2026 was $7.43 million (Q2 2026), $7.7 million (Q1 2026) and $7.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Clipper Realty | 54.61 Mn | -141.82 Mn | 9.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.40 Mn |
| Jun 30, 2026 | 7.43 Mn |
| Mar 31, 2026 | 7.70 Mn |
| Dec 31, 2025 | 7.36 Mn |
| Sep 30, 2025 | 7.89 Mn |
| Jun 30, 2025 | 7.52 Mn |
| Mar 31, 2025 | 7.63 Mn |
| Dec 31, 2024 | 7.63 Mn |
| Sep 30, 2024 | 7.56 Mn |
| Jun 30, 2024 | 7.44 Mn |
| Mar 31, 2024 | 7.14 Mn |
| Dec 31, 2023 | 7.34 Mn |
| Sep 30, 2023 | 7.37 Mn |
| Jun 30, 2023 | 8.70 Mn |
| Mar 31, 2023 | 8.54 Mn |
| Dec 31, 2022 | 8.49 Mn |
| Sep 30, 2022 | 8.25 Mn |
| Jun 30, 2022 | 7.89 Mn |
| Mar 31, 2022 | 7.93 Mn |
| Dec 31, 2021 | 7.92 Mn |
API Access
Clipper Realty Real Estate Taxes and Insurance 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=real-estate-taxes-and-insurance&ticker=CLPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-taxes-and-insurance", "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=real-estate-taxes-and-insurance&ticker=CLPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();