Data Storage (DTST) EPS (Diluted) (2016 - 2026)
Data Storage (DTST) reported EPS (Diluted) of -$0.55 for Q2 2026, compared with -$0.10 a year earlier.
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Analysis
Data Storage (DTST) EPS (Diluted) (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Data Storage's EPS (Diluted) came in at -$1.38; for FY2025, it was $2.64.
- EPS (Diluted) has a five-year compound annual growth rate of 176.2% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $0.07 in FY2024 (+34.6%), $0.05 in FY2023, -$0.64 in FY2022 and $0.03 in FY2021 (+95.9%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.61 in Q3 2025 and a high of $0.43 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 2.09 |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 0.97 |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | 1.22 |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 6.34 |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | 52.60 |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 7.59 |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 4.63 |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 1.06 |
| 10 | Data Storage | 6.51 Mn | -99.21 Mn | 168,481.00 | -0.55 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.55 |
| Mar 31, 2026 | -0.20 |
| Dec 31, 2025 | 0.43 |
| Sep 30, 2025 | 2.20 |
| Jun 30, 2025 | -0.10 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.04 |
| Sep 30, 2024 | 0.02 |
| Jun 30, 2024 | -0.04 |
| Mar 31, 2024 | 0.05 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | 0.02 |
| Jun 30, 2023 | 0.03 |
| Mar 31, 2023 | 0.01 |
| Dec 31, 2022 | -0.46 |
| Sep 30, 2022 | -0.04 |
| Jun 30, 2022 | -0.13 |
| Mar 31, 2022 | 0.02 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 0.02 |
API Access
Data Storage EPS (Diluted) 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=eps-diluted&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();