Rexford Industrial Realty (REXR) Interest Expenses (2012 - 2026)
Rexford Industrial Realty (REXR) posted Interest Expenses of $13.9 million for Q2 2026, up 0.7% from $13.8 million a year earlier and unchanged from the prior quarter.
Rexford Industrial Realty (REXR) Interest Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Rexford Industrial Realty was $67.05 million, down 3.6% year-over-year; for FY2025, it came in at $104.9 million, up 6.4% from FY2024.
- Annual Interest Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 27.7% (FY2020 to FY2025).
- In prior years, Rexford Industrial Realty's Interest Expenses was $98.6 million in FY2024 (+60.6%), $61.4 million in FY2023 (+26.6%), $48.5 million in FY2022 (+20.8%) and $40.14 million in FY2021 (+30.1%).
- Quarterly Interest Expenses has run from a low of $500,000 in Q1 2024 to a high of $28.17 million in Q4 2024 over five years.
- On a year-over-year basis, Interest Expenses increased in four of the last seven quarters, with growth averaging 10.3%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2024, with growth of 93.4%; the weakest was Q1 2024, with a decline of 96.4%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $13.9 million (Q1 2026), $25.45 million (Q4 2025) and $13.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Rexford Industrial Realty | 8.09 Bn | 8.44 Bn | - | 13.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.90 Mn |
| Mar 31, 2026 | 13.90 Mn |
| Dec 31, 2025 | 25.45 Mn |
| Sep 30, 2025 | 13.80 Mn |
| Jun 30, 2025 | 13.80 Mn |
| Mar 31, 2025 | 13.80 Mn |
| Dec 31, 2024 | 28.17 Mn |
| Sep 30, 2024 | 13.80 Mn |
| Jun 30, 2024 | 13.70 Mn |
| Mar 31, 2024 | 500,000.00 |
| Dec 31, 2023 | 14.57 Mn |
| Sep 30, 2023 | 15.95 Mn |
| Jun 30, 2023 | 17.18 Mn |
| Mar 31, 2023 | 13.70 Mn |
| Dec 31, 2022 | 13.67 Mn |
| Sep 30, 2022 | 14.98 Mn |
| Jun 30, 2022 | 10.17 Mn |
| Mar 31, 2022 | 9.68 Mn |
| Dec 31, 2021 | 10.37 Mn |
| Sep 30, 2021 | 10.43 Mn |
Rexford Industrial Realty Interest 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=interest-expenses&ticker=REXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=REXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();