Data Storage (DTST) Price to Earnings (2018 - 2026)
Data Storage's Price to Earnings was 2.08 in FY2025, down 96.4% from 56.96 in FY2024.
Analysis
Data Storage (DTST) Price to Earnings (2018 - 2026) Analysis & Trends
From FY2018 onward, Data Storage has reported Price to Earnings for 6 years.
- The FY2025 figure marks the lowest annual Price to Earnings in data going back to FY2018.
- Per Business Quant data, Price to Earnings in earlier years was 56.96 in FY2024 (+9.7%), 51.93 in FY2023 and 76.08 in FY2021 (+835.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Data Storage | 7.45 Mn | 7.23 Mn | 168,481.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.43 |
| Mar 31, 2026 | 0.63 |
| Dec 31, 2025 | 2.08 |
| Sep 30, 2025 | 1.97 |
| Mar 31, 2025 | 135.96 |
| Dec 31, 2024 | 56.96 |
| Sep 30, 2024 | 164.93 |
| Jun 30, 2024 | 211.54 |
| Mar 31, 2024 | 57.61 |
| Dec 31, 2023 | 51.93 |
| Mar 31, 2022 | 54.49 |
| Dec 31, 2021 | 76.08 |
| Sep 30, 2021 | 172.95 |
| Jun 30, 2021 | 507.26 |
| Mar 31, 2021 | 8.12 |
| Dec 31, 2020 | 8.13 |
| Sep 30, 2020 | 3.74 |
| Jun 30, 2019 | 97.39 |
| Mar 31, 2019 | 114.00 |
| Dec 31, 2018 | 121.92 |
API Access
Data Storage Price to Earnings 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=price-to-earnings&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();