Data Storage (DTST) Property, Plant & Equipment (Net) (2009 - 2025)
Data Storage (DTST) posted Property, Plant & Equipment (Net) of $3.34 million for Q2 2025, up 6.4% from $3.14 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Data Storage (DTST) Property, Plant & Equipment (Net) (2009 - 2025) Analysis & Trends
At the end of FY2024, Data Storage's Property, Plant & Equipment (Net) came in at $6,077, down 99.8% from FY2023.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -69.2% (FY2019 to FY2024).
- In prior years, Data Storage's Property, Plant & Equipment (Net) was $2.73 million in FY2023 (+23.6%), $2.21 million in FY2022 (+14.2%), $1.94 million in FY2021 (-15.8%) and $2.3 million in FY2020 (+5.2%).
- The Q2 2025 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in seven of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2023, with growth of 23.6%; the weakest was Q4 2024, with a decline of 99.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $3.23 million (Q1 2025), $6,077 (Q4 2024) and $3.06 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 52.08 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 2.76 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 378.80 Mn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 7.42 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 8.83 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 705.00 Mn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 2.59 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 5.65 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4,545.00 |
| Jun 30, 2025 | 3.34 Mn |
| Mar 31, 2025 | 3.23 Mn |
| Dec 31, 2024 | 6,077.00 |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.87 Mn |
| Dec 31, 2023 | 2.73 Mn |
| Sep 30, 2023 | 2.74 Mn |
| Jun 30, 2023 | 2.93 Mn |
| Mar 31, 2023 | 2.42 Mn |
| Dec 31, 2022 | 2.21 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | 2.58 Mn |
| Mar 31, 2022 | 2.56 Mn |
| Dec 31, 2021 | 1.94 Mn |
| Sep 30, 2021 | 2.04 Mn |
| Jun 30, 2021 | 2.15 Mn |
| Mar 31, 2021 | 2.56 Mn |
| Dec 31, 2020 | 2.30 Mn |
API Access
Data Storage Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();