Gladstone Commercial (GOOD) Accumulated Depreciation (2009 - 2026)
Gladstone Commercial's Accumulated Depreciation was $393.03 million in Q3 2026, up 12.2% from $350.15 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Gladstone Commercial (GOOD) Accumulated Depreciation (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Depreciation at Gladstone Commercial came in at $359.51 million, up 12.5% from FY2024.
- Accumulated Depreciation has now increased for 15 consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Accumulated Depreciation was $319.65 million in FY2024 (+6.7%), $299.66 million in FY2023 (+4.7%), $286.15 million in FY2022 (+7.1%) and $267.06 million in FY2021 (+16.9%).
- The Q3 2026 figure marks the highest quarterly Accumulated Depreciation in data going back to Q4 2010.
- Compared with a year earlier, Accumulated Depreciation has increased for 52 straight quarters, with growth averaging 10.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Depreciation ranged from 2.5% (Q3 2023) to 16.9% (Q4 2021).
- Per Business Quant data, GOOD's Accumulated Depreciation in the three quarters before Q3 2026 was $381.61 million (Q2 2026), $370.49 million (Q1 2026) and $359.51 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Gladstone Commercial | 484.31 Mn | 614.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 393.03 Mn |
| Jun 30, 2026 | 381.61 Mn |
| Mar 31, 2026 | 370.49 Mn |
| Dec 31, 2025 | 359.51 Mn |
| Sep 30, 2025 | 350.15 Mn |
| Jun 30, 2025 | 339.33 Mn |
| Mar 31, 2025 | 329.45 Mn |
| Dec 31, 2024 | 319.65 Mn |
| Sep 30, 2024 | 313.73 Mn |
| Jun 30, 2024 | 311.43 Mn |
| Mar 31, 2024 | 304.00 Mn |
| Dec 31, 2023 | 299.66 Mn |
| Sep 30, 2023 | 291.99 Mn |
| Jun 30, 2023 | 286.91 Mn |
| Mar 31, 2023 | 294.13 Mn |
| Dec 31, 2022 | 286.15 Mn |
| Sep 30, 2022 | 284.80 Mn |
| Jun 30, 2022 | 279.61 Mn |
| Mar 31, 2022 | 276.95 Mn |
| Dec 31, 2021 | 267.06 Mn |
API Access
Gladstone Commercial 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=GOOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "GOOD", "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=GOOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();