Data Storage (DTST) EV to CFO (2013 - 2025)
Data Storage's EV to CFO was 20.43 in Q2 2025, up 91.1% from 10.69 a year earlier and up 35.1% from the prior quarter.
Data Storage (DTST) EV to CFO (2013 - 2025) Analysis & Trends
On a trailing twelve-month basis, Data Storage's EV to CFO was -33.29 through Jun 30, 2025; for FY2024, it came in at 9.90, up 461.1% from FY2023.
- In earlier years, EV to CFO was 1.76 in FY2023, -2.04 in FY2022 and -0.48 in FY2020.
- The Q2 2025 figure marks the highest quarterly EV to CFO since Q3 2021.
- Compared with a year earlier, EV to CFO has increased for five straight quarters, with growth averaging 198.8% over the last five quarters.
- Per Business Quant data, DTST's EV to CFO in the three quarters before Q2 2025 was 15.12 (Q1 2025), 9.90 (Q4 2024) and 6.32 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn |
| 10 | Data Storage | 6.51 Mn | -99.21 Mn | 168,481.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 20.43 |
| Mar 31, 2025 | 15.12 |
| Dec 31, 2024 | 9.90 |
| Sep 30, 2024 | 6.32 |
| Jun 30, 2024 | 10.69 |
| Mar 31, 2024 | 8.85 |
| Dec 31, 2023 | 1.76 |
| Sep 30, 2023 | 3.91 |
| Jun 30, 2023 | 2.61 |
| Dec 31, 2022 | -2.04 |
| Mar 31, 2022 | 8.66 |
| Sep 30, 2021 | 29.47 |
| Jun 30, 2021 | 12.89 |
| Mar 31, 2021 | -0.02 |
| Dec 31, 2020 | -0.48 |
| Sep 30, 2020 | -0.17 |
| Jun 30, 2020 | -0.36 |
| Mar 31, 2020 | 0.05 |
| Dec 31, 2019 | 18.78 |
| Sep 30, 2019 | 18.75 |
Data Storage EV to CFO 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=ev-to-cfo&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();