Dawson Geophysical (DWSN) Return on Sales [ROS] (2010 - 2026)
Dawson Geophysical's Return on Sales [ROS] came in at -16.91% for Q2 2026, up 7.16 percentage points from -24.07% a year earlier but down 39.09 percentage points from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dawson Geophysical reported Return on Sales [ROS] of 4.59%, up 18.73 percentage points year-over-year; for FY2025, it was -2.20%, up 3.93 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last four years, with a five-year change of +14.05 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -6.13% in FY2024 (+7.36 pp), -13.50% in FY2023 (+29.50 pp), -43.00% in FY2022 (+75.36 pp) and -118.36% in FY2021 (-102.11 pp).
- The five-year range for quarterly Return on Sales [ROS] is -405.07% (Q3 2021) to 22.18% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +6.02 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 4644.93 percentage points), and the weakest in Q3 2021 (a drop of 312.39 percentage points).
- Business Quant data shows DWSN's Return on Sales [ROS] at 22.18% (Q1 2026), 3.14% (Q4 2025) and -5.15% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 12.05% |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 13.05% |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 10.94% |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 18.23% |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 8.24% |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 6.38% |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 13.39% |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 15.26% |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 13.70% |
| 10 | Dawson Geophysical | 51.24 Mn | 33.01 Mn | 2.61 Mn | -16.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.91% |
| Mar 31, 2026 | 22.18% |
| Dec 31, 2025 | 3.14% |
| Sep 30, 2025 | -5.15% |
| Jun 30, 2025 | -24.07% |
| Mar 31, 2025 | 6.43% |
| Dec 31, 2024 | -5.33% |
| Sep 30, 2024 | -39.86% |
| Jun 30, 2024 | -30.12% |
| Mar 31, 2024 | 18.37% |
| Dec 31, 2023 | -8.36% |
| Sep 30, 2023 | -24.79% |
| Jun 30, 2023 | -23.63% |
| Mar 31, 2023 | -1.95% |
| Dec 31, 2022 | -33.41% |
| Sep 30, 2022 | -94.99% |
| Jun 30, 2022 | -164.91% |
| Mar 31, 2022 | -6.56% |
| Dec 31, 2021 | -62.35% |
| Sep 30, 2021 | -405.07% |
API Access
Dawson Geophysical Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();