Realty Income (O) Interest Expenses (2009 - 2026)
Realty Income (O) posted Interest Expenses of $312.08 million for Q2 2026, up 10.0% from $283.82 million a year earlier and up 6.9% from the prior quarter.
Realty Income (O) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Realty Income was $1.19 billion, up 9.7% year-over-year; for FY2025, it came in at $1.13 billion, up 11.6% from FY2024.
- Annual Interest Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In prior years, Realty Income's Interest Expenses was $1.02 billion in FY2024 (+39.2%), $730.42 million in FY2023 (+57.0%), $465.22 million in FY2022 (+43.7%) and $323.64 million in FY2021 (+4.6%).
- The Q2 2026 figure stands as the highest quarterly Interest Expenses in data going back to Q2 2009.
- On a year-over-year basis, Interest Expenses has increased in each of the last 19 quarters, with growth averaging 17.0% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2023, with growth of 67.0%; the weakest was Q3 2021, with a decline of 0.8%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $291.94 million (Q1 2026), $288.2 million (Q4 2025) and $294.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - | 276.31 Mn |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - | 275.66 Mn |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - | 312.08 Mn |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - | 84.78 Mn |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 82.46 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - | 66.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.08 Mn |
| Mar 31, 2026 | 291.94 Mn |
| Dec 31, 2025 | 288.20 Mn |
| Sep 30, 2025 | 294.48 Mn |
| Jun 30, 2025 | 283.82 Mn |
| Mar 31, 2025 | 268.37 Mn |
| Dec 31, 2024 | 268.15 Mn |
| Sep 30, 2024 | 261.26 Mn |
| Jun 30, 2024 | 246.93 Mn |
| Mar 31, 2024 | 240.61 Mn |
| Dec 31, 2023 | 208.31 Mn |
| Sep 30, 2023 | 184.12 Mn |
| Jun 30, 2023 | 183.86 Mn |
| Mar 31, 2023 | 154.13 Mn |
| Dec 31, 2022 | 131.29 Mn |
| Sep 30, 2022 | 117.41 Mn |
| Jun 30, 2022 | 110.12 Mn |
| Mar 31, 2022 | 106.40 Mn |
| Dec 31, 2021 | 100.74 Mn |
| Sep 30, 2021 | 76.16 Mn |
Realty Income 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=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "O", "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=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();