Chiron Real Estate (XRN) Operating Expenses (2011 - 2026)
Chiron Real Estate (XRN) posted Operating Expenses of $39.34 million for Q2 2026, up 4.8% from $37.54 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Chiron Real Estate (XRN) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Chiron Real Estate was $149.41 million, up 7.7% year-over-year; for FY2025, it came in at $143.41 million, up 6.6% from FY2024.
- Annual Operating Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Chiron Real Estate's Operating Expenses was $134.58 million in FY2024 (+0.4%), $134.01 million in FY2023 (+8.0%), $124.04 million in FY2022 (+25.7%) and $98.66 million in FY2021 (+2.5%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 32.9%; the weakest was Q3 2021, with a decline of 29.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $36.4 million (Q1 2026), $37.41 million (Q4 2025) and $36.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Chiron Real Estate | 460.45 Mn | 487.56 Mn | - | 39.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.34 Mn |
| Mar 31, 2026 | 36.40 Mn |
| Dec 31, 2025 | 37.41 Mn |
| Sep 30, 2025 | 36.27 Mn |
| Jun 30, 2025 | 37.54 Mn |
| Mar 31, 2025 | 32.20 Mn |
| Dec 31, 2024 | 36.27 Mn |
| Sep 30, 2024 | 32.70 Mn |
| Jun 30, 2024 | 32.81 Mn |
| Mar 31, 2024 | 32.80 Mn |
| Dec 31, 2023 | 31.54 Mn |
| Sep 30, 2023 | 32.96 Mn |
| Jun 30, 2023 | 34.96 Mn |
| Mar 31, 2023 | 34.54 Mn |
| Dec 31, 2022 | 34.46 Mn |
| Sep 30, 2022 | 32.13 Mn |
| Jun 30, 2022 | 29.86 Mn |
| Mar 31, 2022 | 27.59 Mn |
| Dec 31, 2021 | 25.93 Mn |
| Sep 30, 2021 | 24.62 Mn |
API Access
Chiron Real Estate 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=operating-expenses&ticker=XRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=XRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();