Dawson Geophysical (DWSN) EV to CFO (2011 - 2026)
Dawson Geophysical's (DWSN) EV to CFO came in at 53.27 for Q2 2026, compared with 4.17 a year earlier and up 492.7% from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) EV to CFO (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to CFO at Dawson Geophysical was 49.65; for FY2025, it was 3.09.
- In prior years, Dawson Geophysical's EV to CFO was 55.71 in FY2023.
- The Q2 2026 figure stands as the highest quarterly EV to CFO since Q1 2018.
- According to Business Quant data, EV to CFO for the three prior quarters was 8.99 (Q1 2026), 3.09 (Q4 2025) and 7.67 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn |
| 10 | Dawson Geophysical | 51.24 Mn | 33.01 Mn | 2.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.27 |
| Mar 31, 2026 | 8.99 |
| Dec 31, 2025 | 3.09 |
| Sep 30, 2025 | 7.67 |
| Jun 30, 2025 | 4.17 |
| Sep 30, 2024 | 21.90 |
| Jun 30, 2024 | 17.12 |
| Mar 31, 2024 | 7.11 |
| Dec 31, 2023 | 55.71 |
| Sep 30, 2023 | 72.48 |
| Jun 30, 2023 | 43.31 |
| Mar 31, 2023 | 6.78 |
| Jun 30, 2021 | 2.22 |
| Mar 31, 2021 | 0.79 |
| Dec 31, 2020 | 0.42 |
| Sep 30, 2020 | -0.14 |
| Jun 30, 2020 | 0.28 |
| Mar 31, 2020 | -0.24 |
| Dec 31, 2019 | 2.35 |
| Sep 30, 2019 | 21.35 |
API Access
Dawson Geophysical 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=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();