Douglas Emmett (DEI) Interest Expenses (2010 - 2026)
Douglas Emmett (DEI) posted Interest Expenses of $68.26 million for Q2 2026, up 4.5% from $65.34 million a year earlier and up 5.8% from the prior quarter.
Douglas Emmett (DEI) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Douglas Emmett was $274.06 million, up 12.1% year-over-year; for FY2025, it came in at $266.68 million, up 16.2% from FY2024.
- Annual Interest Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Douglas Emmett's Interest Expenses was $229.44 million in FY2024 (+9.5%), $209.47 million in FY2023 (+39.5%), $150.19 million in FY2022 (+1.8%) and $147.5 million in FY2021 (+3.2%).
- Quarterly Interest Expenses has run from a low of $34.9 million in Q1 2022 to a high of $72.81 million in Q3 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last 15 quarters, with growth averaging 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2023, with growth of 46.0%; the weakest was Q3 2022, with a decline of 1.2%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $64.54 million (Q1 2026), $68.45 million (Q4 2025) and $72.81 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 | Douglas Emmett | 1.60 Bn | 1.82 Bn | 162.12 Mn | 68.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.26 Mn |
| Mar 31, 2026 | 64.54 Mn |
| Dec 31, 2025 | 68.45 Mn |
| Sep 30, 2025 | 72.81 Mn |
| Jun 30, 2025 | 65.34 Mn |
| Mar 31, 2025 | 60.08 Mn |
| Dec 31, 2024 | 62.33 Mn |
| Sep 30, 2024 | 56.82 Mn |
| Jun 30, 2024 | 54.96 Mn |
| Mar 31, 2024 | 55.33 Mn |
| Dec 31, 2023 | 57.61 Mn |
| Sep 30, 2023 | 56.04 Mn |
| Jun 30, 2023 | 50.31 Mn |
| Mar 31, 2023 | 45.51 Mn |
| Dec 31, 2022 | 40.63 Mn |
| Sep 30, 2022 | 38.39 Mn |
| Jun 30, 2022 | 36.26 Mn |
| Mar 31, 2022 | 34.90 Mn |
| Dec 31, 2021 | 37.48 Mn |
| Sep 30, 2021 | 38.88 Mn |
Douglas Emmett 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=DEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "DEI", "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=DEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();