Realty Income (O) Interest Expense (2009 - 2020)
Realty Income (O) posted Interest Expenses of $333.56 million for Q3 2026, up 13.3% from $294.48 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Realty Income (O) Interest Expense (2009 - 2020) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Interest Expenses at Realty Income was $1.23 billion, up 10.0% 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 Q3 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 20 quarters, with growth averaging 13.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Interest Expenses ranged from 7.5% (Q4 2025) to 67.0% (Q2 2023).
- According to Business Quant data, Interest Expenses for the three prior quarters was $312.08 million (Q2 2026), $291.94 million (Q1 2026) and $288.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 286.96 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 287.59 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 68.28 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn | 214.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 75.93 Mn |
| Dec 31, 2019 | 75.07 Mn |
| Sep 30, 2019 | 73.41 Mn |
| Jun 30, 2019 | 72.49 Mn |
| Mar 31, 2019 | 70.02 Mn |
| Dec 31, 2018 | 70.64 Mn |
| Sep 30, 2018 | 69.34 Mn |
| Jun 30, 2018 | 66.63 Mn |
| Mar 31, 2018 | 59.42 Mn |
| Dec 31, 2017 | 61.48 Mn |
| Sep 30, 2017 | 62.95 Mn |
| Jun 30, 2017 | 63.68 Mn |
| Mar 31, 2017 | 59.31 Mn |
| Dec 31, 2016 | 48.94 Mn |
| Sep 30, 2016 | 52.95 Mn |
| Jun 30, 2016 | 57.41 Mn |
| Mar 31, 2016 | 60.68 Mn |
| Dec 31, 2015 | 51.98 Mn |
| Sep 30, 2015 | 63.95 Mn |
| Jun 30, 2015 | 58.68 Mn |
API Access
Realty Income Interest Expense 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-expense&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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-expense&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();