Data Storage (DTST) Accumulated Depreciation (2010 - 2021)
Data Storage (DTST) reported Accumulated Depreciation of $4.18 million for Q2 2021, down 18.1% from $5.1 million a year earlier and down 15.4% from the prior quarter.
Data Storage (DTST) Accumulated Depreciation (2010 - 2021) Analysis & Trends
At the end of FY2020, Data Storage posted Accumulated Depreciation of $5.54 million, up 17.8% from FY2019.
- Accumulated Depreciation has increased for five consecutive years, with a five-year compound annual growth rate of 12.6% (FY2015 to FY2020).
- By year, Accumulated Depreciation came in at $4.71 million in FY2019 (+17.5%), $4.01 million in FY2018 (+10.8%), $3.61 million in FY2017 (+12.2%) and $3.22 million in FY2016 (+5.2%).
- The Q2 2021 figure ranks as the lowest quarterly Accumulated Depreciation since Q4 2018.
- Year over year, Accumulated Depreciation gained in seven of the last eight quarters, with growth averaging 10.6%.
- The high point for year-over-year Accumulated Depreciation in five years was Q4 2020 (growth of 17.8%); the low point was Q2 2021 (a decline of 18.1%).
- Per Business Quant data, the three quarters before Q2 2021 came in at $4.94 million (Q1 2021), $5.54 million (Q4 2020) and $5.31 million (Q3 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Data Storage | 7.72 Mn | 7.50 Mn | 168,481.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 4.18 Mn |
| Mar 31, 2021 | 4.94 Mn |
| Dec 31, 2020 | 5.54 Mn |
| Sep 30, 2020 | 5.31 Mn |
| Jun 30, 2020 | 5.10 Mn |
| Mar 31, 2020 | 4.90 Mn |
| Dec 31, 2019 | 4.71 Mn |
| Sep 30, 2019 | 4.54 Mn |
| Jun 30, 2019 | 4.36 Mn |
| Mar 31, 2019 | 4.18 Mn |
| Dec 31, 2018 | 4.01 Mn |
| Sep 30, 2018 | 3.92 Mn |
| Jun 30, 2018 | 3.82 Mn |
| Mar 31, 2018 | 3.72 Mn |
| Dec 31, 2017 | 3.61 Mn |
| Sep 30, 2017 | 3.52 Mn |
| Jun 30, 2017 | 3.41 Mn |
| Mar 31, 2017 | 3.31 Mn |
| Dec 31, 2016 | 3.22 Mn |
| Dec 31, 2015 | 3.06 Mn |
Data Storage 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=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();