Data Storage (DTST) EBIT (2010 - 2026)
Data Storage's EBIT was -$1.28 million in Q2 2026, compared with -$950,762 a year earlier.
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Analysis
Data Storage (DTST) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Data Storage's EBIT was -$3.4 million through Jun 30, 2026; for FY2025, it was -$3.57 million.
- In earlier years, EBIT was -$3.31 million in FY2024, -$168,411 in FY2023, -$4.08 million in FY2022 and -$767,072 in FY2021.
- Quarterly EBIT has moved between -$3 million (Q4 2022) and $213,795 (Q1 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 35.63 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 4.26 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | 1.64 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 5.39 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | 8.78 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 2.06 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 2.05 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 1.39 Bn |
| 10 | Data Storage | 6.51 Mn | -99.21 Mn | 168,481.00 | -1.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.28 Mn |
| Mar 31, 2026 | -1.29 Mn |
| Dec 31, 2025 | -808,327.00 |
| Sep 30, 2025 | -1.10 Mn |
| Jun 30, 2025 | -950,762.00 |
| Mar 31, 2025 | -716,138.00 |
| Dec 31, 2024 | -840,430.00 |
| Sep 30, 2024 | -839,632.00 |
| Jun 30, 2024 | -388,786.00 |
| Mar 31, 2024 | 213,795.00 |
| Dec 31, 2023 | -248,282.00 |
| Sep 30, 2023 | 14,141.00 |
| Jun 30, 2023 | 106,744.00 |
| Mar 31, 2023 | -41,014.00 |
| Dec 31, 2022 | -3.00 Mn |
| Sep 30, 2022 | -223,224.00 |
| Jun 30, 2022 | -1.04 Mn |
| Mar 31, 2022 | 186,044.00 |
| Dec 31, 2021 | -375,403.00 |
| Sep 30, 2021 | -331,668.00 |
API Access
Data Storage EBIT 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=ebit&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();