Camden Property Trust (CPT) Other Operating Expenses (2010 - 2026)
Camden Property Trust (CPT) recorded Other Operating Expenses of $47.32 million in Q2 2026, up 18.7% from $39.87 million a year earlier but down 44.6% from the prior quarter.
Camden Property Trust (CPT) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Camden Property Trust's Other Operating Expenses came in at $201.47 million as of Jun 30, 2026, up 50.4% year-over-year; for FY2025, it came in at $139.13 million, up 10.8% from FY2024.
- Annual Other Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 24.6% (FY2022 to FY2025).
- Across earlier years, Other Operating Expenses came in at $125.53 million in FY2024 (+10.8%), $113.33 million in FY2023 (+57.6%) and $71.89 million in FY2022.
- Quarterly Other Operating Expenses has ranged from $26.1 million in Q4 2024 to $124.56 million in Q3 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 25.6% over the last seven quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 180.2% in Q1 2026, against a decline of 75.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.37 million (Q1 2026), $32.6 million (Q4 2025) and $36.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Camden Property Trust | 9.73 Bn | 9.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.32 Mn |
| Mar 31, 2026 | 85.37 Mn |
| Dec 31, 2025 | 32.60 Mn |
| Sep 30, 2025 | 36.19 Mn |
| Jun 30, 2025 | 39.87 Mn |
| Mar 31, 2025 | 30.47 Mn |
| Dec 31, 2024 | 26.10 Mn |
| Sep 30, 2024 | 37.53 Mn |
| Jun 30, 2024 | 29.55 Mn |
| Mar 31, 2024 | 32.35 Mn |
| Sep 30, 2023 | 124.56 Mn |
| Jun 30, 2023 | 121.73 Mn |
| Mar 31, 2023 | 119.33 Mn |
| Sep 30, 2022 | 118.83 Mn |
| Jun 30, 2022 | 112.08 Mn |
| Mar 31, 2022 | 95.52 Mn |
| Sep 30, 2021 | 95.11 Mn |
| Jun 30, 2021 | 87.73 Mn |
| Mar 31, 2021 | 86.71 Mn |
| Sep 30, 2020 | 88.33 Mn |
Camden Property Trust 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=CPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CPT", "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=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();