Service Properties Trust (SVC) Asset Writedowns and Impairment (2010 - 2026)
Service Properties Trust (SVC) reported Asset Writedowns and Impairment of $189.1 million for Q2 2026, up 971.1% from $17.65 million a year earlier and up 573.1% from the prior quarter.
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Analysis
Service Properties Trust (SVC) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Service Properties Trust's Asset Writedowns and Impairment came in at $244.36 million, up 232.0% year-over-year; for FY2025, it came in at $81.89 million, up 45.7% from FY2024.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $56.21 million in FY2024 (+489.0%), $9.54 million in FY2023 (-13.1%), $10.99 million in FY2022 (-86.0%) and $78.62 million in FY2021 (+41.0%).
- The Q2 2026 figure ranks as the highest quarterly Asset Writedowns and Impairment in data going back to Q2 2010.
- Year over year, Asset Writedowns and Impairment gained in two of the last five quarters, with growth averaging 179.4%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q2 2026 (growth of 971.1%); the low point was Q4 2022 (a decline of 98.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.1 million (Q1 2026), $101,000 (Q4 2025) and $27.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Service Properties Trust | 826.39 Mn | 37.35 Mn | 156.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.10 Mn |
| Mar 31, 2026 | 28.10 Mn |
| Dec 31, 2025 | 101,000.00 |
| Sep 30, 2025 | 27.07 Mn |
| Jun 30, 2025 | 17.65 Mn |
| Mar 31, 2025 | 37.07 Mn |
| Dec 31, 2024 | 5.18 Mn |
| Sep 30, 2024 | 13.69 Mn |
| Jun 30, 2024 | 34.89 Mn |
| Mar 31, 2024 | 2.45 Mn |
| Dec 31, 2023 | 27,000.00 |
| Sep 30, 2023 | 512,000.00 |
| Jun 30, 2023 | 9.01 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.17 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 5.50 Mn |
| Dec 31, 2021 | 76.51 Mn |
| Jun 30, 2021 | 899,000.00 |
| Mar 31, 2021 | 1.21 Mn |
API Access
Service Properties Trust 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=SVC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SVC", "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=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();