Realty Income (O) Tax Provisions (2009 - 2026)
Realty Income's (O) quarterly Tax Provisions came in at $25.8 million in Q2 2026, up 7.24% year-over-year from $24.1 million in Q2 2025, and down 1.48% quarter-over-quarter from $26.2 million in Q1 2026.
Realty Income (O) Tax Provisions (2009 - 2026) Analysis & Trends
Realty Income has disclosed Tax Provisions across 18 years of filings, most recently posting $25.8 million for Q2 2026.
- In Q2 2026, Tax Provisions rose 7.24% year-over-year to $25.8 million; the TTM figure through Jun 2026 stood at $97.6 million (up 29.86% YoY), while the FY2025 annual figure was $85.3 million, up 28.15% from the prior year.
- Tax Provisions came in at $25.8 million for Q2 2026 at Realty Income, down from $26.2 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $26.2 million in Q1 2026 to a low of $9.4 million in Q4 2022.
- Average Tax Provisions over 5 years is $16.7 million, with a median of $15.6 million recorded in 2024.
- Year-over-year, Tax Provisions surged 76.4% in 2022 and fell 11.78% in 2023.
- Over 5 years, Tax Provisions stood at $9.4 million in 2022, then soared by 68.46% to $15.8 million in 2023, then climbed by 27.2% to $20.1 million in 2024, then climbed by 8.45% to $21.8 million in 2025, then climbed by 18.39% to $25.8 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $25.8 million in Q2 2026, $26.2 million in Q1 2026, and $21.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | -61.98 Mn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 108.17 Mn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | -6.80 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 25.81 Mn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 2.72 Mn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | -25.62 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 12.07 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | -461,000.00 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 411,000.00 |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.81 Mn |
| Mar 31, 2026 | 26.20 Mn |
| Dec 31, 2025 | 21.80 Mn |
| Sep 30, 2025 | 23.82 Mn |
| Jun 30, 2025 | 24.07 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Sep 30, 2024 | 15.36 Mn |
| Jun 30, 2024 | 15.64 Mn |
| Mar 31, 2024 | 15.50 Mn |
| Dec 31, 2023 | 15.80 Mn |
| Sep 30, 2023 | 11.34 Mn |
| Jun 30, 2023 | 12.93 Mn |
| Mar 31, 2023 | 11.95 Mn |
| Dec 31, 2022 | 9.38 Mn |
| Sep 30, 2022 | 10.16 Mn |
| Jun 30, 2022 | 14.66 Mn |
| Mar 31, 2022 | 10.98 Mn |
| Dec 31, 2021 | 10.13 Mn |
| Sep 30, 2021 | 6.08 Mn |
Realty Income Tax Provisions 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=tax-provisions&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();