Dawson Geophysical (DWSN) EBITDA Margin (2010 - 2026)
Dawson Geophysical (DWSN) posted EBITDA Margin of -5.83% for Q2 2026, up 6.32 percentage points from -12.15% a year earlier but down 33.45 percentage points from the prior quarter.
Dawson Geophysical (DWSN) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Dawson Geophysical was 11.50%, up 16.38 percentage points year-over-year; for FY2025, it was 5.30%, up 3.70 percentage points from FY2024.
- Annual EBITDA Margin has increased for four consecutive years, with a five-year change of +1.60 percentage points (FY2020 to FY2025).
- In prior years, Dawson Geophysical's EBITDA Margin was 1.60% in FY2024 (+6.33 pp), -4.73% in FY2023 (+15.36 pp), -20.09% in FY2022 (+46.19 pp) and -66.28% in FY2021 (-69.97 pp).
- Quarterly EBITDA Margin has run from a low of -235.32% in Q3 2021 to a high of 27.62% in Q1 2026 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last five quarters, with an average year-over-year change of +5.71 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2022, with a gain of 2946.44 percentage points; the weakest was Q3 2021, with a drop of 189.85 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 27.62% (Q1 2026), 10.10% (Q4 2025) and 0.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 19.44% |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 19.34% |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 16.13% |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 21.70% |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 27.93% |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 10.56% |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 19.51% |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 31.80% |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 21.66% |
| 10 | Dawson Geophysical | 51.24 Mn | 33.01 Mn | 2.61 Mn | -5.83% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.83% |
| Mar 31, 2026 | 27.62% |
| Dec 31, 2025 | 10.10% |
| Sep 30, 2025 | 0.78% |
| Jun 30, 2025 | -12.15% |
| Mar 31, 2025 | 14.34% |
| Dec 31, 2024 | 3.32% |
| Sep 30, 2024 | -30.23% |
| Jun 30, 2024 | -18.89% |
| Mar 31, 2024 | 23.40% |
| Dec 31, 2023 | -1.50% |
| Sep 30, 2023 | -16.02% |
| Jun 30, 2023 | -13.18% |
| Mar 31, 2023 | 7.23% |
| Dec 31, 2022 | -17.08% |
| Sep 30, 2022 | -56.48% |
| Jun 30, 2022 | -101.74% |
| Mar 31, 2022 | 7.58% |
| Dec 31, 2021 | -36.71% |
| Sep 30, 2021 | -235.32% |
Dawson Geophysical EBITDA Margin 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=ebitda-margin&ticker=DWSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();