Data Storage (DTST) Revenue (2009 - 2026)
Data Storage (DTST) posted Revenue of $358,530 for Q2 2026, up 9.3% from $327,951 a year earlier and up 3.4% from the prior quarter.
Data Storage (DTST) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Data Storage was $17.07 million; for FY2025, it came in at $1.38 million, up 13.4% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of -31.7% (FY2020 to FY2025).
- In prior years, Data Storage's Revenue was $1.22 million in FY2024 (-95.1%), $24.96 million in FY2023 (+4.6%), $23.87 million in FY2022 (+60.5%) and $14.88 million in FY2021 (+59.6%).
- Quarterly Revenue has run from a low of $312,744 in Q1 2025 to a high of $16.04 million in Q3 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last three quarters, with an average decline of 51.0% over the last seven quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2022, with growth of 236.2%; the weakest was Q1 2025, with a decline of 96.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 114.48 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 17.25 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 3.66 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 46.97 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 21.54 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 11.03 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 4.23 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 4.38 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 12.21 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | 358,530.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358,530.00 |
| Mar 31, 2026 | 346,707.00 |
| Dec 31, 2025 | 325,278.00 |
| Sep 30, 2025 | 416,956.00 |
| Jun 30, 2025 | 327,951.00 |
| Mar 31, 2025 | 312,744.00 |
| Dec 31, 2024 | 320,112.00 |
| Sep 30, 2024 | 325,299.00 |
| Jun 30, 2024 | 4.91 Mn |
| Mar 31, 2024 | 8.24 Mn |
| Dec 31, 2023 | 6.19 Mn |
| Sep 30, 2023 | 5.99 Mn |
| Jun 30, 2023 | 5.90 Mn |
| Mar 31, 2023 | 6.88 Mn |
| Dec 31, 2022 | 5.97 Mn |
| Sep 30, 2022 | 4.42 Mn |
| Jun 30, 2022 | 4.83 Mn |
| Mar 31, 2022 | 8.66 Mn |
| Dec 31, 2021 | 4.91 Mn |
| Sep 30, 2021 | 3.86 Mn |
Data Storage Revenue 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=revenue&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();