Data Storage (DTST) Other Accumulated Expenses (2009 - 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.
Data Storage (DTST) Other Accumulated Expenses (2009 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 |
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 |
| Sep 30, 2016 | 591,623.00 |
| Jun 30, 2016 | 564,785.00 |
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_KEY
import 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();