Data Storage (DTST) Return on Sales [ROS] (2009 - 2026)
Data Storage (DTST) reported Return on Sales [ROS] of -357.59% for Q2 2026, down 67.68 percentage points from -289.91% a year earlier but up 13.35 percentage points from the prior quarter.
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Analysis
Data Storage (DTST) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Data Storage's Return on Sales [ROS] came in at -19.94%, up 240.30 percentage points year-over-year; for FY2025, it was -258.42%, up 13.32 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -258.40 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -271.73% in FY2024 (-271.06 pp), -0.67% in FY2023 (+16.40 pp), -17.08% in FY2022 (-11.92 pp) and -5.16% in FY2021 (-5.14 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -370.95% in Q1 2026 and a high of 2.60% in Q1 2024.
- Year over year, Return on Sales [ROS] gained in 1 of the last seven quarters, with an average year-over-year change of -175.15 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 46.32 percentage points); the low point was Q2 2025 (a drop of 281.99 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 24.72% |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 11.41% |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | -357.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -357.59% |
| Mar 31, 2026 | -370.95% |
| Dec 31, 2025 | -248.50% |
| Sep 30, 2025 | -263.45% |
| Jun 30, 2025 | -289.91% |
| Mar 31, 2025 | -228.99% |
| Dec 31, 2024 | -262.54% |
| Sep 30, 2024 | -258.11% |
| Jun 30, 2024 | -7.92% |
| Mar 31, 2024 | 2.60% |
| Dec 31, 2023 | -4.01% |
| Sep 30, 2023 | 0.24% |
| Jun 30, 2023 | 1.81% |
| Mar 31, 2023 | -0.60% |
| Dec 31, 2022 | -50.33% |
| Sep 30, 2022 | -5.05% |
| Jun 30, 2022 | -21.45% |
| Mar 31, 2022 | 2.15% |
| Dec 31, 2021 | -7.64% |
| Sep 30, 2021 | -8.59% |
API Access
Data Storage Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();