Clipper Realty (CLPR) Acquisitions, Development and Improvements of Real Estate (2016 - 2026)
Clipper Realty's Capital Expenditures was $3.47 million in Q3 2026, down 31.9% from $5.09 million a year earlier but up 14.0% from the prior quarter.
Clipper Realty (CLPR) Acquisitions, Development and Improvements of Real Estate (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Clipper Realty's Capital Expenditures was $9.22 million through Sep 30, 2026, down 78.1% year-over-year; for FY2025, it came in at $31.3 million, down 54.5% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $68.78 million in FY2024 (+66.3%), $41.36 million in FY2023 (-9.0%), $45.45 million in FY2022 (+27.9%) and $35.53 million in FY2021 (+11.7%).
- Quarterly Capital Expenditures has moved between $791,000 (Q4 2025) and $22.25 million (Q1 2024) over five years.
- Compared with a year earlier, Capital Expenditures has declined for eight straight quarters, with an average decline of 55.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2024 (growth of 208.4%); the worst was Q4 2025 (a decline of 93.2%).
- Per Business Quant data, CLPR's Capital Expenditures in the three quarters before Q3 2026 was $3.04 million (Q2 2026), $1.93 million (Q1 2026) and $791,000 (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.47 Mn |
| Jun 30, 2026 | 3.04 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 791,000.00 |
| Sep 30, 2025 | 5.09 Mn |
| Jun 30, 2025 | 15.75 Mn |
| Mar 31, 2025 | 9.68 Mn |
| Dec 31, 2024 | 11.68 Mn |
| Sep 30, 2024 | 15.05 Mn |
| Jun 30, 2024 | 19.80 Mn |
| Mar 31, 2024 | 22.25 Mn |
| Dec 31, 2023 | 13.57 Mn |
| Sep 30, 2023 | 8.87 Mn |
| Jun 30, 2023 | 6.42 Mn |
| Mar 31, 2023 | 12.49 Mn |
| Dec 31, 2022 | 9.48 Mn |
| Sep 30, 2022 | 11.12 Mn |
| Jun 30, 2022 | 10.97 Mn |
| Mar 31, 2022 | 13.89 Mn |
| Dec 31, 2021 | 14.73 Mn |
Clipper Realty Acquisitions, Development and Improvements of Real Estate 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=acquisitions-development-and-improvements-of-real-estate&ticker=CLPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions-development-and-improvements-of-real-estate", "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=acquisitions-development-and-improvements-of-real-estate&ticker=CLPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();