Realty Income (O) Restructuring Costs (2012 - 2026)
Realty Income's (O) quarterly Restructuring Costs came in at $2.1 million in Q2 2026, up 534.44% year-over-year from $331000.0 in Q2 2025, and down 80.56% quarter-over-quarter from $10.8 million in Q1 2026.
Realty Income (O) Restructuring Costs (2012 - 2026) Analysis & Trends
Realty Income has disclosed Restructuring Costs across 8 years of filings, most recently posting $2.1 million for Q2 2026.
- In Q2 2026, Restructuring Costs rose 534.44% year-over-year to $2.1 million; the TTM figure through Jun 2026 stood at $36.5 million (up 182185.0% YoY), while the FY2025 annual figure was $24.2 million, down 74.86% from the prior year.
- Restructuring Costs came in at $2.1 million for Q2 2026 at Realty Income, down from $10.8 million in the prior quarter.
- In the past five years, Restructuring Costs ranged from a high of $94.1 million in Q1 2024 to a low of -$9.2 million in Q4 2024.
- Average Restructuring Costs over 5 years is $9.0 million, with a median of $2.8 million recorded in 2023.
- The largest YoY upside for Restructuring Costs was 7100.0% in 2024 against a maximum downside of 192.63% in 2024.
- Over 5 years, Restructuring Costs stood at $903000.0 in 2022, then surged by 999.89% to $9.9 million in 2023, then sank by 192.63% to -$9.2 million in 2024, then surged by 211.02% to $10.2 million in 2025, then tumbled by 79.44% to $2.1 million in 2026.
- Per Business Quant data, the three most recent Restructuring Costs figures were $2.1 million in Q2 2026, $10.8 million in Q1 2026, and $10.2 million 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 | 2.10 Mn |
| Mar 31, 2026 | 10.80 Mn |
| Dec 31, 2025 | 10.21 Mn |
| Sep 30, 2025 | 13.34 Mn |
| Jun 30, 2025 | 331,000.00 |
| Mar 31, 2025 | 279,000.00 |
| Dec 31, 2024 | -9.20 Mn |
| Sep 30, 2024 | 8.61 Mn |
| Jun 30, 2024 | 2.75 Mn |
| Mar 31, 2024 | 94.10 Mn |
| Dec 31, 2023 | 9.93 Mn |
| Sep 30, 2023 | 2.88 Mn |
| Jun 30, 2023 | 341,000.00 |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 903,000.00 |
| Sep 30, 2022 | 3.75 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 6.52 Mn |
| Dec 31, 2021 | 137.33 Mn |
| Sep 30, 2021 | 16.78 Mn |
Realty Income Restructuring Costs 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=restructuring-costs&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();