Rexford Industrial Realty (REXR) General and Administrative (2012 - 2026)
Rexford Industrial Realty (REXR) recorded Selling, General & Administrative of $13.43 million in Q3 2026, down 33.0% from $20.04 million a year earlier and down 1.9% from the prior quarter.
Rexford Industrial Realty (REXR) General and Administrative (2012 - 2026) Analysis & Trends
On a TTM basis, Rexford Industrial Realty's Selling, General & Administrative came in at $61.25 million as of Sep 30, 2026, down 24.9% year-over-year; for FY2025, it came in at $78.86 million, down 4.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $82.15 million in FY2024 (+9.5%), $75.03 million in FY2023 (+16.7%), $64.26 million in FY2022 (+31.2%) and $48.99 million in FY2021 (+33.1%).
- The Q3 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2021.
- On a year-over-year basis, Selling, General & Administrative has declined for five consecutive quarters, with an average decline of 11.7% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 66.0% in Q4 2021, against a decline of 33.0% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.69 million (Q2 2026), $14.93 million (Q1 2026) and $19.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - |
| 6 | Ventas | 45.39 Bn | 44.06 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 | - |
| 10 | Rexford Industrial Realty | 8.35 Bn | 7.68 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.43 Mn |
| Jun 30, 2026 | 13.69 Mn |
| Mar 31, 2026 | 14.93 Mn |
| Dec 31, 2025 | 19.20 Mn |
| Sep 30, 2025 | 20.04 Mn |
| Jun 30, 2025 | 19.75 Mn |
| Mar 31, 2025 | 19.87 Mn |
| Dec 31, 2024 | 21.94 Mn |
| Sep 30, 2024 | 20.93 Mn |
| Jun 30, 2024 | 19.31 Mn |
| Mar 31, 2024 | 19.98 Mn |
| Dec 31, 2023 | 19.99 Mn |
| Sep 30, 2023 | 18.58 Mn |
| Jun 30, 2023 | 18.27 Mn |
| Mar 31, 2023 | 18.20 Mn |
| Dec 31, 2022 | 19.73 Mn |
| Sep 30, 2022 | 14.95 Mn |
| Jun 30, 2022 | 14.86 Mn |
| Mar 31, 2022 | 14.72 Mn |
| Dec 31, 2021 | 15.01 Mn |
Rexford Industrial Realty General and Administrative 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=general-and-administrative&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();