Realty Income (O) EBITDA (2020 - 2026)
Realty Income (O) recorded EBITDA of $1.35 billion in Q2 2026, up 17.2% from $1.15 billion a year earlier and up 6.6% from the prior quarter.
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Analysis
Realty Income (O) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Realty Income's EBITDA came in at $5.14 billion as of Jun 30, 2026, up 13.0% year-over-year; for FY2025, it came in at $4.81 billion, up 10.8% from FY2024.
- Annual EBITDA has increased for six straight years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $4.35 billion in FY2024 (+22.3%), $3.55 billion in FY2023 (+16.4%), $3.05 billion in FY2022 (+89.2%) and $1.61 billion in FY2021 (+15.5%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q2 2020.
- On a year-over-year basis, EBITDA has increased for 21 consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 2.3% (Q2 2025) and 104.0% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.27 billion (Q1 2026), $1.25 billion (Q4 2025) and $1.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 175.33 Bn | 162.40 Bn | 1.47 Bn | 1.06 Bn |
| 2 | Prologis | 123.26 Bn | 121.65 Bn | - | 1.78 Bn |
| 3 | Simon Property | 76.07 Bn | 73.28 Bn | - | 1.28 Bn |
| 4 | Public Storage | 62.23 Bn | 61.68 Bn | - | 732.77 Mn |
| 5 | Realty Income | 54.52 Bn | 55.13 Bn | - | 1.36 Bn |
| 6 | Ventas | 45.86 Bn | 45.03 Bn | - | 667.45 Mn |
| 7 | Extra Space Storage | 32.95 Bn | 32.73 Bn | 650.96 Mn | 591.18 Mn |
| 8 | Vici Properties | 27.52 Bn | 25.87 Bn | 1.06 Bn | 568.53 Mn |
| 9 | Vivmark Residential | 23.32 Bn | 23.29 Bn | - | 451.46 Mn |
| 10 | Host Hotels & Resorts | 17.52 Bn | 12.78 Bn | 609.00 Mn | 489.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.28 Bn |
| Dec 31, 2025 | 1.26 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.16 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 976.90 Mn |
| Dec 31, 2023 | 926.91 Mn |
| Sep 30, 2023 | 931.83 Mn |
| Jun 30, 2023 | 872.31 Mn |
| Mar 31, 2023 | 850.16 Mn |
| Dec 31, 2022 | 811.68 Mn |
| Sep 30, 2022 | 770.91 Mn |
| Jun 30, 2022 | 761.67 Mn |
| Mar 31, 2022 | 724.56 Mn |
| Dec 31, 2021 | 452.25 Mn |
| Sep 30, 2021 | 419.50 Mn |
API Access
Realty Income EBITDA 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=ebitda&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();