Rexford Industrial Realty (REXR) Consolidated Net Income (2012 - 2026)
Rexford Industrial Realty (REXR) posted Consolidated Net Income of -$523.81 million for Q2 2026, compared with $120.39 million a year earlier.
Rexford Industrial Realty (REXR) Consolidated Net Income (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Rexford Industrial Realty was -$403.93 million; for FY2025, it came in at $219.76 million, down 23.1% from FY2024.
- Annual Consolidated Net Income shows a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- In prior years, Rexford Industrial Realty's Consolidated Net Income was $285.93 million in FY2024 (+14.6%), $249.59 million in FY2023 (+40.9%), $177.16 million in FY2022 (+30.0%) and $136.25 million in FY2021 (+68.4%).
- The Q2 2026 figure stands as the lowest quarterly Consolidated Net Income in data going back to Q2 2012.
- On a year-over-year basis, Consolidated Net Income increased in five of the last six quarters, with growth averaging 20.9%.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q4 2021, with growth of 116.9%; the weakest was Q4 2024, with a decline of 3.6%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $94.56 million (Q1 2026), -$67.74 million (Q4 2025) and $93.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.12 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 568.54 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 72.22 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 275.88 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 117.74 Mn |
| 10 | Rexford Industrial Realty | 8.18 Bn | 8.53 Bn | - | -523.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -523.81 Mn |
| Mar 31, 2026 | 94.56 Mn |
| Dec 31, 2025 | -67.74 Mn |
| Sep 30, 2025 | 93.06 Mn |
| Jun 30, 2025 | 120.39 Mn |
| Mar 31, 2025 | 74.05 Mn |
| Dec 31, 2024 | 64.91 Mn |
| Sep 30, 2024 | 70.72 Mn |
| Jun 30, 2024 | 86.02 Mn |
| Mar 31, 2024 | 64.28 Mn |
| Dec 31, 2023 | 67.32 Mn |
| Sep 30, 2023 | 61.79 Mn |
| Jun 30, 2023 | 56.91 Mn |
| Mar 31, 2023 | 63.57 Mn |
| Dec 31, 2022 | 45.71 Mn |
| Sep 30, 2022 | 41.65 Mn |
| Jun 30, 2022 | 40.90 Mn |
| Mar 31, 2022 | 48.90 Mn |
| Dec 31, 2021 | 39.38 Mn |
| Sep 30, 2021 | 40.19 Mn |
Rexford Industrial Realty Consolidated Net Income 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=consolidated-net-income&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();