Rexford Industrial Realty (REXR) Receivables (2013 - 2026)
Rexford Industrial Realty (REXR) posted Receivables of $12.13 million for Q2 2026, down 5.7% from $12.86 million a year earlier but up 1.4% from the prior quarter.
Rexford Industrial Realty (REXR) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Rexford Industrial Realty's Receivables came in at $13.96 million, down 11.5% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Rexford Industrial Realty's Receivables was $15.77 million in FY2024 (-9.8%), $17.49 million in FY2023 (+14.9%), $15.23 million in FY2022 (+38.1%) and $11.03 million in FY2021 (+8.0%).
- Quarterly Receivables has run from a low of $9.86 million in Q3 2021 to a high of $18.97 million in Q3 2023 over five years.
- On a year-over-year basis, Receivables has declined in each of the last eight quarters, with an average decline of 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q3 2021, with growth of 68.9%; the weakest was Q1 2026, with a decline of 32.1%.
- According to Business Quant data, Receivables for the three prior quarters was $11.96 million (Q1 2026), $13.96 million (Q4 2025) and $15.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 934.08 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.31 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 108.05 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 114.68 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Rexford Industrial Realty | 8.30 Bn | 8.65 Bn | - | 12.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.13 Mn |
| Mar 31, 2026 | 11.96 Mn |
| Dec 31, 2025 | 13.96 Mn |
| Sep 30, 2025 | 15.73 Mn |
| Jun 30, 2025 | 12.86 Mn |
| Mar 31, 2025 | 17.62 Mn |
| Dec 31, 2024 | 15.77 Mn |
| Sep 30, 2024 | 17.32 Mn |
| Jun 30, 2024 | 17.69 Mn |
| Mar 31, 2024 | 17.90 Mn |
| Dec 31, 2023 | 17.49 Mn |
| Sep 30, 2023 | 18.97 Mn |
| Jun 30, 2023 | 14.13 Mn |
| Mar 31, 2023 | 13.85 Mn |
| Dec 31, 2022 | 15.23 Mn |
| Sep 30, 2022 | 12.59 Mn |
| Jun 30, 2022 | 10.38 Mn |
| Mar 31, 2022 | 11.13 Mn |
| Dec 31, 2021 | 11.03 Mn |
| Sep 30, 2021 | 9.86 Mn |
Rexford Industrial Realty Receivables 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=receivables&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();