Clipper Realty (CLPR) Other Operating Expenses (2016 - 2019)
Clipper Realty (CLPR) reported Other Operating Expenses of -$12.49 million for Q3 2026, compared with -$11.7 million a year earlier.
Clipper Realty (CLPR) Other Operating Expenses (2016 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Clipper Realty's Other Operating Expenses came in at -$49.4 million; for FY2025, it was -$46.84 million.
- By year, Other Operating Expenses came in at -$44.04 million in FY2024, -$42.47 million in FY2023, -$40.24 million in FY2022 and -$36.39 million in FY2021.
- Five-year quarterly Other Operating Expenses spans a low of -$12.55 million in Q4 2025 and a high of -$9.59 million in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$12.28 million (Q2 2026), -$12.09 million (Q1 2026) and -$12.55 million (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 |
|---|---|
| Dec 31, 2019 | -14.58 Mn |
| Dec 31, 2018 | -10.77 Mn |
| Sep 30, 2018 | -9.73 Mn |
| Jun 30, 2018 | -10.67 Mn |
| Mar 31, 2018 | -13.81 Mn |
| Dec 31, 2017 | -12.38 Mn |
| Sep 30, 2017 | -11.30 Mn |
| Jun 30, 2017 | -10.72 Mn |
| Mar 31, 2017 | -10.56 Mn |
| Mar 31, 2016 | -9.21 Mn |
Clipper Realty Other 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=other-operating-expenses&ticker=CLPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CLPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();