Realty Income (O) Asset Writedowns and Impairment (2010 - 2026)
Realty Income (O) recorded Asset Writedowns and Impairment of $54.19 million in Q2 2026, down 61.9% from $142.26 million a year earlier and down 58.1% from the prior quarter.
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Analysis
Realty Income (O) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
On a TTM basis, Realty Income's Asset Writedowns and Impairment came in at $394.84 million as of Jun 30, 2026, down 20.8% year-over-year; for FY2025, it came in at $471.34 million, up 10.7% from FY2024.
- Annual Asset Writedowns and Impairment has increased for three straight years, with a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- Across earlier years, Asset Writedowns and Impairment came in at $425.83 million in FY2024 (+389.0%), $87.08 million in FY2023 (+236.2%), $25.9 million in FY2022 (-33.6%) and $39 million in FY2021 (-73.5%).
- The Q2 2026 figure is the lowest quarterly Asset Writedowns and Impairment since Q4 2023.
- On a year-over-year basis, Asset Writedowns and Impairment rose in five of the last eight quarters, with growth averaging 113.0%.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 918.7% in Q3 2023, against a decline of 89.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $129.27 million (Q1 2026), $124.41 million (Q4 2025) and $86.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.27 Bn | 144.76 Bn | 1.39 Bn |
| 2 | Prologis | 123.38 Bn | 118.42 Bn | - |
| 3 | Simon Property | 64.69 Bn | 60.54 Bn | - |
| 4 | Realty Income | 51.11 Bn | 49.33 Bn | - |
| 5 | Public Storage | 50.26 Bn | 49.25 Bn | - |
| 6 | Ventas | 40.91 Bn | 39.60 Bn | - |
| 7 | Extra Space Storage | 28.00 Bn | 28.00 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.79 Bn | 22.91 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.19 Mn |
| Mar 31, 2026 | 129.27 Mn |
| Dec 31, 2025 | 124.41 Mn |
| Sep 30, 2025 | 86.97 Mn |
| Jun 30, 2025 | 142.26 Mn |
| Mar 31, 2025 | 116.59 Mn |
| Dec 31, 2024 | 142.97 Mn |
| Sep 30, 2024 | 96.92 Mn |
| Jun 30, 2024 | 96.46 Mn |
| Mar 31, 2024 | 89.49 Mn |
| Dec 31, 2023 | 27.28 Mn |
| Sep 30, 2023 | 16.81 Mn |
| Jun 30, 2023 | 29.82 Mn |
| Mar 31, 2023 | 13.18 Mn |
| Dec 31, 2022 | 9.52 Mn |
| Sep 30, 2022 | 1.65 Mn |
| Jun 30, 2022 | 7.69 Mn |
| Mar 31, 2022 | 7.04 Mn |
| Dec 31, 2021 | 8.02 Mn |
| Sep 30, 2021 | 11.01 Mn |
API Access
Realty Income Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=O&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();