Realty Income (O) Accumulated Depreciation (2009 - 2026)
Realty Income's (O) quarterly Accumulated Depreciation came in at $9.5 billion in Q2 2026, up 16.24% year-over-year from $8.1 billion in Q2 2025, and up 4.11% quarter-over-quarter from $9.1 billion in Q1 2026.
Realty Income (O) Accumulated Depreciation (2009 - 2026) Analysis & Trends
Realty Income has disclosed Accumulated Depreciation across 18 years of filings, most recently posting $9.5 billion for Q2 2026.
- In Q2 2026, Accumulated Depreciation rose 16.24% year-over-year to $9.5 billion; the TTM figure through Jun 2026 stood at $9.5 billion (up 16.24% YoY), while the FY2025 annual figure was $8.8 billion, up 18.93% from the prior year.
- Accumulated Depreciation came in at $9.5 billion for Q2 2026 at Realty Income, up from $9.1 billion in the prior quarter.
- In the past five years, Accumulated Depreciation ranged from a high of $9.5 billion in Q2 2026 to a low of $4.2 billion in Q1 2022.
- Average Accumulated Depreciation over 5 years is $6.7 billion, with a median of $6.5 billion recorded in 2024.
- Year-over-year, Accumulated Depreciation grew 13.67% in 2022 and climbed 25.02% in 2023.
- Over 5 years, Accumulated Depreciation stood at $4.9 billion in 2022, then increased by 23.82% to $6.1 billion in 2023, then climbed by 21.56% to $7.4 billion in 2024, then gained by 18.93% to $8.8 billion in 2025, then advanced by 7.83% to $9.5 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Depreciation figures were $9.5 billion in Q2 2026, $9.1 billion in Q1 2026, and $8.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.47 Bn |
| Mar 31, 2026 | 9.09 Bn |
| Dec 31, 2025 | 8.78 Bn |
| Sep 30, 2025 | 8.46 Bn |
| Jun 30, 2025 | 8.14 Bn |
| Mar 31, 2025 | 7.76 Bn |
| Dec 31, 2024 | 7.38 Bn |
| Sep 30, 2024 | 7.07 Bn |
| Jun 30, 2024 | 6.69 Bn |
| Mar 31, 2024 | 6.39 Bn |
| Dec 31, 2023 | 6.07 Bn |
| Sep 30, 2023 | 5.78 Bn |
| Jun 30, 2023 | 5.49 Bn |
| Mar 31, 2023 | 5.19 Bn |
| Dec 31, 2022 | 4.90 Bn |
| Sep 30, 2022 | 4.62 Bn |
| Jun 30, 2022 | 4.39 Bn |
| Mar 31, 2022 | 4.17 Bn |
| Dec 31, 2021 | 3.95 Bn |
| Sep 30, 2021 | 3.90 Bn |
Realty Income Accumulated Depreciation 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=accumulated-depreciation&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();