Data Storage (DTST) Other Accumulated Expenses (2010 - 2021)
Data Storage's Other Accumulated Expenses came in at $1.15 million for Q1 2021, up 14.9% from $1.01 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Data Storage (DTST) Other Accumulated Expenses (2010 - 2021) Analysis & Trends
At the end of FY2020, Data Storage's Other Accumulated Expenses was $1.12 million, up 14.9% from FY2019.
- Other Accumulated Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 16.8% (FY2015 to FY2020).
- Going back by year, Other Accumulated Expenses was $970,997 in FY2019 (+14.7%), $846,685 in FY2018 (+15.4%), $733,673 in FY2017 (+18.5%) and $619,138 in FY2016 (+20.7%).
- The Q1 2021 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Other Accumulated Expenses has increased for 14 consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Accumulated Expenses ran from 13.5% in Q3 2019 to 20.7% in Q4 2016.
- Business Quant data shows DTST's Other Accumulated Expenses at $1.12 million (Q4 2020), $1.08 million (Q3 2020) and $1.04 million (Q2 2020) in the three quarters before Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 10 | Data Storage | 7.45 Mn | 7.23 Mn | 168,481.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 1.15 Mn |
| Dec 31, 2020 | 1.12 Mn |
| Sep 30, 2020 | 1.08 Mn |
| Jun 30, 2020 | 1.04 Mn |
| Mar 31, 2020 | 1.01 Mn |
| Dec 31, 2019 | 970,997.00 |
| Sep 30, 2019 | 939,919.00 |
| Jun 30, 2019 | 908,841.00 |
| Mar 31, 2019 | 877,763.00 |
| Dec 31, 2018 | 846,685.00 |
| Sep 30, 2018 | 828,265.00 |
| Jun 30, 2018 | 795,608.00 |
| Mar 31, 2018 | 764,093.00 |
| Dec 31, 2017 | 733,673.00 |
| Sep 30, 2017 | 705,912.00 |
| Jun 30, 2017 | 676,265.00 |
| Mar 31, 2017 | 647,346.00 |
| Dec 31, 2016 | 619,138.00 |
| Dec 31, 2015 | 513,073.00 |
| Sep 30, 2015 | 488,166.00 |
API Access
Data Storage Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();