Data Storage (DTST) EV to EBITDA (2014 - 2024)
Data Storage's EV to EBITDA was 139.87 in Q3 2024, up 289.6% from the prior quarter.
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Analysis
Data Storage (DTST) EV to EBITDA (2014 - 2024) Analysis & Trends
On a trailing twelve-month basis, Data Storage's EV to EBITDA was -218.39 through Sep 30, 2024; for FY2023, it was 6.03.
- In earlier years, EV to EBITDA was 6.37 in FY2021, -0.52 in FY2020 and 13.61 in FY2019 (-27.8%).
- The Q3 2024 figure marks the highest quarterly EV to EBITDA since Q1 2017.
- Per Business Quant data, DTST's EV to EBITDA in the three quarters before Q3 2024 was 35.90 (Q2 2024), 19.71 (Q1 2024) and 6.03 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Data Storage | 7.72 Mn | 7.50 Mn | 168,481.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 139.87 |
| Jun 30, 2024 | 35.90 |
| Mar 31, 2024 | 19.71 |
| Dec 31, 2023 | 6.03 |
| Mar 31, 2022 | 10.76 |
| Dec 31, 2021 | 6.37 |
| Sep 30, 2021 | 19.32 |
| Jun 30, 2021 | 17.11 |
| Mar 31, 2021 | -0.02 |
| Dec 31, 2020 | -0.52 |
| Sep 30, 2020 | -0.13 |
| Jun 30, 2020 | -0.37 |
| Mar 31, 2020 | 0.05 |
| Dec 31, 2019 | 13.61 |
| Sep 30, 2019 | 16.29 |
| Jun 30, 2019 | 18.94 |
| Mar 31, 2019 | 19.99 |
| Dec 31, 2018 | 18.85 |
| Sep 30, 2018 | 45.60 |
| Jun 30, 2018 | 93.73 |
API Access
Data Storage EV to EBITDA 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-ebitda&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();