Camden Property Trust (CPT) Non Operating Interest Expenses (2009 - 2026)
Camden Property Trust (CPT) reported Non Operating Interest Expenses of $41.42 million for Q2 2026, up 17.1% from $35.38 million a year earlier and up 10.9% from the prior quarter.
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Analysis
Camden Property Trust (CPT) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Camden Property Trust's Non Operating Interest Expenses came in at $147.86 million, up 10.2% year-over-year; for FY2025, it came in at $138.24 million, up 6.5% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $129.82 million in FY2024 (-2.7%), $133.4 million in FY2023 (+17.6%), $113.42 million in FY2022 (+16.6%) and $97.3 million in FY2021 (+6.3%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- Year over year, Non Operating Interest Expenses has now increased in each of the last six quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2023 (growth of 33.8%); the low point was Q4 2024 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.36 million (Q1 2026), $34.08 million (Q4 2025) and $35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 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 | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Camden Property Trust | 9.73 Bn | 9.81 Bn | - | 41.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.42 Mn |
| Mar 31, 2026 | 37.36 Mn |
| Dec 31, 2025 | 34.08 Mn |
| Sep 30, 2025 | 35.00 Mn |
| Jun 30, 2025 | 35.38 Mn |
| Mar 31, 2025 | 33.79 Mn |
| Dec 31, 2024 | 32.57 Mn |
| Sep 30, 2024 | 32.49 Mn |
| Jun 30, 2024 | 32.23 Mn |
| Mar 31, 2024 | 32.54 Mn |
| Dec 31, 2023 | 33.97 Mn |
| Sep 30, 2023 | 33.01 Mn |
| Jun 30, 2023 | 33.58 Mn |
| Mar 31, 2023 | 32.84 Mn |
| Dec 31, 2022 | 30.67 Mn |
| Sep 30, 2022 | 29.19 Mn |
| Jun 30, 2022 | 29.02 Mn |
| Mar 31, 2022 | 24.54 Mn |
| Dec 31, 2021 | 24.58 Mn |
| Sep 30, 2021 | 24.99 Mn |
API Access
Camden Property Trust Non Operating Interest 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=non-operating-interest-expenses&ticker=CPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();