Dawson Geophysical (DWSN) EV to EBITDA (2011 - 2026)
Dawson Geophysical's EV to EBITDA came in at 14.87 for Q2 2026, up 66.6% from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dawson Geophysical reported EV to EBITDA of 13.86; for FY2025, it came in at 10.78, down 68.1% from FY2024.
- Going back by year, EV to EBITDA was 33.81 in FY2024.
- The five-year range for quarterly EV to EBITDA is 8.93 (Q1 2026) to 137.22 (Q3 2024).
- Business Quant data shows DWSN's EV to EBITDA at 8.93 (Q1 2026), 10.78 (Q4 2025) and 27.47 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn |
| 10 | Dawson Geophysical | 90.06 Mn | 71.83 Mn | 2.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.87 |
| Mar 31, 2026 | 8.93 |
| Dec 31, 2025 | 10.78 |
| Sep 30, 2025 | 27.47 |
| Dec 31, 2024 | 33.81 |
| Sep 30, 2024 | 137.22 |
| Jun 30, 2024 | 49.49 |
| Mar 31, 2024 | 46.69 |
| Dec 31, 2020 | 2.59 |
| Sep 30, 2020 | -0.69 |
| Jun 30, 2020 | 0.10 |
| Mar 31, 2020 | -0.43 |
| Dec 31, 2019 | 3.99 |
| Sep 30, 2019 | 18.26 |
| Mar 31, 2019 | 9.27 |
| Dec 31, 2018 | 7.77 |
| Sep 30, 2018 | 7.13 |
| Jun 30, 2018 | 8.03 |
| Mar 31, 2018 | 10.88 |
| Dec 31, 2017 | 54.77 |
API Access
Dawson Geophysical 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=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "DWSN", "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=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();