InvenTrust Properties (IVT) Accumulated Depreciation (2010 - 2026)
InvenTrust Properties' Accumulated Depreciation was $570.91 million in Q2 2026, up 18.0% from $483.73 million a year earlier and up 4.4% from the prior quarter.
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Analysis
InvenTrust Properties (IVT) Accumulated Depreciation (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Depreciation at InvenTrust Properties came in at $525.83 million, up 2.7% from FY2024.
- Accumulated Depreciation has now increased for six consecutive years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In earlier years, Accumulated Depreciation was $511.97 million in FY2024 (+11.0%), $461.35 million in FY2023 (+18.5%), $389.36 million in FY2022 (+11.2%) and $350.26 million in FY2021 (+19.8%).
- The Q2 2026 figure marks the highest quarterly Accumulated Depreciation since Q1 2016.
- Compared with a year earlier, Accumulated Depreciation has increased for four straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Depreciation over five years was Q4 2021 (growth of 19.8%); the worst was Q2 2025 (a decline of 2.3%).
- Per Business Quant data, IVT's Accumulated Depreciation in the three quarters before Q2 2026 was $547.02 million (Q1 2026), $525.83 million (Q4 2025) and $504.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | InvenTrust Properties | 2.35 Bn | 2.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.91 Mn |
| Mar 31, 2026 | 547.02 Mn |
| Dec 31, 2025 | 525.83 Mn |
| Sep 30, 2025 | 504.63 Mn |
| Jun 30, 2025 | 483.73 Mn |
| Mar 31, 2025 | 524.83 Mn |
| Dec 31, 2024 | 511.97 Mn |
| Sep 30, 2024 | 496.56 Mn |
| Jun 30, 2024 | 495.21 Mn |
| Mar 31, 2024 | 476.54 Mn |
| Dec 31, 2023 | 461.35 Mn |
| Sep 30, 2023 | 442.95 Mn |
| Jun 30, 2023 | 425.96 Mn |
| Mar 31, 2023 | 407.31 Mn |
| Dec 31, 2022 | 389.36 Mn |
| Sep 30, 2022 | 385.00 Mn |
| Jun 30, 2022 | 369.29 Mn |
| Mar 31, 2022 | 366.39 Mn |
| Dec 31, 2021 | 350.26 Mn |
| Sep 30, 2021 | 335.09 Mn |
API Access
InvenTrust Properties 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=IVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "IVT", "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=IVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();