Rexford Industrial Realty (REXR) Long-Term Debt Repayments (2012 - 2026)
Rexford Industrial Realty (REXR) posted Long-Term Debt Repayments of $795.22 million for Q3 2026, up 693.3% from $100.24 million a year earlier and up 245.4% from the prior quarter.
Rexford Industrial Realty (REXR) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Rexford Industrial Realty was $1.07 billion, up 894.3% year-over-year; for FY2025, it was $100.97 million, up 653.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- In prior years, Rexford Industrial Realty's Long-Term Debt Repayments was $13.4 million in FY2024 (-96.3%), $357.49 million in FY2023 (-83.6%), $2.18 billion in FY2022 (+98.7%) and $1.1 billion in FY2021 (+523.5%).
- The Q3 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q3 2022.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last five quarters, with growth averaging 114.1%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2026, with growth of 693.3%; the weakest was Q3 2023, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $230.22 million (Q2 2026), $41.93 million (Q1 2026) and $248,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 1.19 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 382.44 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 3.06 Bn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 183.83 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 61.00 Bn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 133.33 Mn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 6.12 Bn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 1.75 Bn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 738,000.00 |
| 10 | Rexford Industrial Realty | 8.35 Bn | 7.68 Bn | - | 795.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 795.22 Mn |
| Jun 30, 2026 | 230.22 Mn |
| Mar 31, 2026 | 41.93 Mn |
| Dec 31, 2025 | 248,000.00 |
| Sep 30, 2025 | 100.24 Mn |
| Jun 30, 2025 | 242,000.00 |
| Mar 31, 2025 | 239,000.00 |
| Dec 31, 2024 | 6.65 Mn |
| Sep 30, 2024 | 285,000.00 |
| Jun 30, 2024 | 2.53 Mn |
| Mar 31, 2024 | 3.94 Mn |
| Dec 31, 2023 | 2.58 Mn |
| Sep 30, 2023 | 367,000.00 |
| Jun 30, 2023 | 4.17 Mn |
| Mar 31, 2023 | 350.38 Mn |
| Dec 31, 2022 | 57.88 Mn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 723.55 Mn |
| Mar 31, 2022 | 267.64 Mn |
| Dec 31, 2021 | 281.60 Mn |
Rexford Industrial Realty Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();