Dawson Geophysical (DWSN) Enterprise Value (2010 - 2026)
Dawson Geophysical's Enterprise Value came in at $178.35 million for Q2 2026, up 512.8% from $29.1 million a year earlier and up 68.7% from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dawson Geophysical reported Enterprise Value of $166.24 million, up 819.9% year-over-year; for FY2025, it came in at $43.17 million, up 7.6% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 39.3% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $40.13 million in FY2024 (-11.5%), $45.35 million in FY2023 (+63.1%), $27.8 million in FY2022 (-4.8%) and $29.21 million in FY2021 (+254.7%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value in data going back to Q2 2010.
- Year-over-year, Enterprise Value has increased for four consecutive quarters, with growth averaging 83.6% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2026 (growth of 512.8%), and the weakest in Q2 2022 (a decline of 66.3%).
- Business Quant data shows DWSN's Enterprise Value at $105.7 million (Q1 2026), $43.17 million (Q4 2025) and $49.56 million (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 | 178.35 Mn |
| Mar 31, 2026 | 105.70 Mn |
| Dec 31, 2025 | 43.17 Mn |
| Sep 30, 2025 | 49.56 Mn |
| Jun 30, 2025 | 29.10 Mn |
| Mar 31, 2025 | 35.45 Mn |
| Dec 31, 2024 | 40.13 Mn |
| Sep 30, 2024 | 41.85 Mn |
| Jun 30, 2024 | 48.85 Mn |
| Mar 31, 2024 | 32.03 Mn |
| Dec 31, 2023 | 45.35 Mn |
| Sep 30, 2023 | 57.33 Mn |
| Jun 30, 2023 | 32.40 Mn |
| Mar 24, 2023 | 37.62 Mn |
| Dec 31, 2022 | 27.80 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 6.99 Mn |
| Mar 31, 2022 | 40.82 Mn |
| Dec 31, 2021 | 29.21 Mn |
| Sep 30, 2021 | 22.27 Mn |
API Access
Dawson Geophysical Enterprise Value 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=enterprise-value&ticker=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();