Rexford Industrial Realty (REXR) Property Operating Expenses (2012 - 2026)
Rexford Industrial Realty's Property Operating Expenses came in at $57 million for Q3 2026, down 1.5% from $57.88 million a year earlier but up 1.4% from the prior quarter.
Rexford Industrial Realty (REXR) Property Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Rexford Industrial Realty reported Property Operating Expenses of $229.26 million, up 2.1% year-over-year; for FY2025, it came in at $227.73 million, up 8.3% from FY2024.
- Property Operating Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- Going back by year, Property Operating Expenses was $210.26 million in FY2024 (+14.0%), $184.48 million in FY2023 (+22.6%), $150.5 million in FY2022 (+39.7%) and $107.72 million in FY2021 (+35.1%).
- The five-year range for quarterly Property Operating Expenses is $32.09 million (Q4 2021) to $59.29 million (Q4 2025).
- Year-over-year, Property Operating Expenses increased in seven of the last eight quarters, with growth averaging 6.4%.
- The fastest year-over-year change in Property Operating Expenses over five years came in Q4 2021 (growth of 45.6%), and the weakest in Q3 2026 (a decline of 1.5%).
- Business Quant data shows REXR's Property Operating Expenses at $56.21 million (Q2 2026), $56.76 million (Q1 2026) and $59.29 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | Rexford Industrial Realty | 8.35 Bn | 7.68 Bn | - | 57.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.00 Mn |
| Jun 30, 2026 | 56.21 Mn |
| Mar 31, 2026 | 56.76 Mn |
| Dec 31, 2025 | 59.29 Mn |
| Sep 30, 2025 | 57.88 Mn |
| Jun 30, 2025 | 55.30 Mn |
| Mar 31, 2025 | 55.26 Mn |
| Dec 31, 2024 | 56.01 Mn |
| Sep 30, 2024 | 54.87 Mn |
| Jun 30, 2024 | 51.91 Mn |
| Mar 31, 2024 | 47.48 Mn |
| Dec 31, 2023 | 49.26 Mn |
| Sep 30, 2023 | 48.09 Mn |
| Jun 30, 2023 | 44.31 Mn |
| Mar 31, 2023 | 42.83 Mn |
| Dec 31, 2022 | 42.06 Mn |
| Sep 30, 2022 | 39.61 Mn |
| Jun 30, 2022 | 35.41 Mn |
| Mar 31, 2022 | 33.43 Mn |
| Dec 31, 2021 | 32.09 Mn |
Rexford Industrial Realty Property 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=property-operating-expenses&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "REXR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-operating-expenses&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();