Data Storage (DTST) Depreciation and Depletion (2011 - 2025)
Data Storage (DTST) reported Depreciation and Depletion of $283,735 for Q2 2025, up 4.7% from $270,952 a year earlier but down 4.3% from the prior quarter.
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Analysis
Data Storage (DTST) Depreciation and Depletion (2011 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Data Storage's Depreciation and Depletion came in at $1.15 million, up 7.6% year-over-year; for FY2024, it came in at $1.08 million, up 5.4% from FY2023.
- Depreciation and Depletion has a five-year compound annual growth rate of 9.0% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $1.02 million in FY2023 (+8.1%), $946,989 in FY2022 (-1.4%), $959,974 in FY2021 (+14.5%) and $838,566 in FY2020 (+19.8%).
- Five-year quarterly Depreciation and Depletion spans a low of $211,276 in Q3 2020 and a high of $303,997 in Q4 2023.
- Year over year, Depreciation and Depletion gained in seven of the last eight quarters, with growth averaging 14.2%.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2023 (growth of 36.5%); the low point was Q1 2023 (a decline of 22.2%).
- Per Business Quant data, the three quarters before Q2 2025 came in at $296,593 (Q1 2025), $291,679 (Q4 2024) and $279,935 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | - |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | - |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | - |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 37.60 Mn |
| 10 | Data Storage | 7.45 Mn | 7.23 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 283,735.00 |
| Mar 31, 2025 | 296,593.00 |
| Dec 31, 2024 | 291,679.00 |
| Sep 30, 2024 | 279,935.00 |
| Jun 30, 2024 | 270,952.00 |
| Mar 31, 2024 | 226,051.00 |
| Dec 31, 2023 | 303,997.00 |
| Sep 30, 2023 | 269,372.00 |
| Jun 30, 2023 | 231,415.00 |
| Mar 31, 2023 | 218,979.00 |
| Dec 31, 2022 | 222,674.00 |
| Sep 30, 2022 | 222,009.00 |
| Jun 30, 2022 | 219,520.00 |
| Mar 31, 2022 | 281,608.00 |
| Dec 31, 2021 | 250,779.00 |
| Sep 30, 2021 | 229,427.00 |
| Jun 30, 2021 | 261,079.00 |
| Mar 31, 2021 | 218,689.00 |
| Dec 31, 2020 | 229,823.00 |
| Sep 30, 2020 | 211,276.00 |
API Access
Data Storage Depreciation and Depletion 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=depreciation-and-depletion&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DTST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();