Realty Income (O) EBIT (2020 - 2026)
Realty Income's (O) quarterly EBIT came in at $708.4 million in Q2 2026, up 39.75% year-over-year from $506.9 million in Q2 2025, and up 10.85% quarter-over-quarter from $639.1 million in Q1 2026.
Realty Income (O) EBIT (2020 - 2026) Analysis & Trends
Realty Income has disclosed EBIT across 7 years of filings, most recently posting $708.4 million for Q2 2026.
- In Q2 2026, EBIT rose 39.75% year-over-year to $708.4 million; the TTM figure through Jun 2026 stood at $2.6 billion (up 24.78% YoY), while the FY2025 annual figure was $2.3 billion, up 17.38% from the prior year.
- EBIT came in at $708.4 million for Q2 2026 at Realty Income, up from $639.1 million in the prior quarter.
- In the past five years, EBIT ranged from a high of $708.4 million in Q2 2026 to a low of $317.4 million in Q1 2022.
- Average EBIT over 5 years is $479.5 million, with a median of $466.7 million recorded in 2023.
- Year-over-year, EBIT jumped 219.95% in 2022 and dropped 3.18% in 2025.
- Over 5 years, EBIT stood at $369.0 million in 2022, then grew by 20.29% to $443.9 million in 2023, then gained by 10.3% to $489.6 million in 2024, then grew by 24.93% to $611.6 million in 2025, then advanced by 15.82% to $708.4 million in 2026.
- Per Business Quant data, the three most recent EBIT figures were $708.4 million in Q2 2026, $639.1 million in Q1 2026, and $611.6 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 1.25 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 890.67 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 708.40 Mn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 466.68 Mn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 49.79 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 202.93 Mn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 47.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 708.40 Mn |
| Mar 31, 2026 | 639.07 Mn |
| Dec 31, 2025 | 611.64 Mn |
| Sep 30, 2025 | 635.98 Mn |
| Jun 30, 2025 | 506.90 Mn |
| Mar 31, 2025 | 535.49 Mn |
| Dec 31, 2024 | 489.60 Mn |
| Sep 30, 2024 | 547.74 Mn |
| Jun 30, 2024 | 523.54 Mn |
| Mar 31, 2024 | 390.02 Mn |
| Dec 31, 2023 | 443.88 Mn |
| Sep 30, 2023 | 429.33 Mn |
| Jun 30, 2023 | 393.94 Mn |
| Mar 31, 2023 | 392.20 Mn |
| Dec 31, 2022 | 369.01 Mn |
| Sep 30, 2022 | 347.86 Mn |
| Jun 30, 2022 | 348.60 Mn |
| Mar 31, 2022 | 317.36 Mn |
| Dec 31, 2021 | 115.33 Mn |
| Sep 30, 2021 | 217.51 Mn |
Realty Income EBIT 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=ebit&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();