Data Storage (DTST) EV to FCF (2013 - 2025)
Data Storage's EV to FCF came in at 8.63 for Q2 2025, down 52.1% from 18.03 a year earlier and down 21.8% from the prior quarter.
Data Storage (DTST) EV to FCF (2013 - 2025) Analysis & Trends
Over the trailing twelve months to Jun 30, 2025, Data Storage reported EV to FCF of -14.06; for FY2024, it came in at 9.91, up 237.7% from FY2023.
- Going back by year, EV to FCF was 2.93 in FY2023, -2.53 in FY2022 and -0.58 in FY2020.
- The Q2 2025 figure represents the lowest quarterly EV to FCF since Q4 2023.
- Year-over-year, EV to FCF increased in three of the last five quarters, with growth averaging 84.3%.
- Business Quant data shows DTST's EV to FCF at 11.03 (Q1 2025), 9.91 (Q4 2024) and 16.83 (Q3 2024) in the three quarters before Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -7.88 |
| Jun 30, 2025 | 8.63 |
| Mar 31, 2025 | 11.03 |
| Dec 31, 2024 | 9.91 |
| Sep 30, 2024 | 16.83 |
| Jun 30, 2024 | 18.03 |
| Mar 31, 2024 | 16.88 |
| Dec 31, 2023 | 2.93 |
| Sep 30, 2023 | 7.67 |
| Jun 30, 2023 | 7.18 |
| Dec 31, 2022 | -2.53 |
| Mar 31, 2022 | 11.40 |
| Sep 30, 2021 | 125.81 |
| Jun 30, 2021 | 17.09 |
| Mar 31, 2021 | -0.03 |
| Dec 31, 2020 | -0.58 |
| Sep 30, 2020 | -0.21 |
| Jun 30, 2020 | -0.41 |
| Mar 31, 2020 | 0.06 |
| Dec 31, 2019 | 19.78 |
Data Storage EV to FCF 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-fcf&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();