Dawson Geophysical (DWSN) Cost of Revenue (2010 - 2026)
Dawson Geophysical (DWSN) posted Cost of Revenue of $15.3 million for Q2 2026, up 75.6% from $8.72 million a year earlier but down 35.2% from the prior quarter.
Dawson Geophysical (DWSN) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Dawson Geophysical was $81.04 million, up 64.8% year-over-year; for FY2025, it was $62.61 million, down 0.7% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Dawson Geophysical's Cost of Revenue was $63.02 million in FY2024 (-27.3%), $86.66 million in FY2023 (+86.2%), $46.55 million in FY2022 (+60.4%) and $29.02 million in FY2021 (-57.9%).
- Quarterly Cost of Revenue has run from a low of $806,000 in Q1 2023 to a high of $24.14 million in Q3 2023 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last four quarters, with growth averaging 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2023, with growth of 193.4%; the weakest was Q1 2023, with a decline of 94.4%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $23.62 million (Q1 2026), $21.65 million (Q4 2025) and $20.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 7.58 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 5.16 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | 2.08 Bn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 4.91 Bn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 1.61 Bn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 480.42 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 608.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 772.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 144.36 Mn |
| 10 | Dawson Geophysical | 85.09 Mn | 66.87 Mn | 2.61 Mn | 15.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.30 Mn |
| Mar 31, 2026 | 23.62 Mn |
| Dec 31, 2025 | 21.65 Mn |
| Sep 30, 2025 | 20.46 Mn |
| Jun 30, 2025 | 8.72 Mn |
| Mar 31, 2025 | 11.78 Mn |
| Dec 31, 2024 | 12.52 Mn |
| Sep 30, 2024 | 16.15 Mn |
| Jun 30, 2024 | 12.39 Mn |
| Mar 31, 2024 | 21.96 Mn |
| Dec 31, 2023 | 18.83 Mn |
| Sep 30, 2023 | 24.14 Mn |
| Jun 30, 2023 | 19.91 Mn |
| Mar 24, 2023 | 806,000.00 |
| Dec 31, 2022 | 16.71 Mn |
| Sep 30, 2022 | 8.65 Mn |
| Jun 30, 2022 | 6.79 Mn |
| Mar 31, 2022 | 14.40 Mn |
| Dec 31, 2021 | 10.77 Mn |
| Sep 30, 2021 | 3.98 Mn |
Dawson Geophysical Cost of Revenue 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=cost-of-revenue&ticker=DWSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();