Dawson Geophysical (DWSN) Receivables - Net (2010 - 2026)
Dawson Geophysical (DWSN) posted Receivables - Net of $7.32 million for Q2 2026, up 107.6% from $3.52 million a year earlier but down 62.4% from the prior quarter.
Dawson Geophysical (DWSN) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Dawson Geophysical's Receivables - Net came in at $9.39 million, down 5.8% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Dawson Geophysical's Receivables - Net was $9.97 million in FY2024 (-21.7%), $12.74 million in FY2023 (+59.7%), $7.97 million in FY2022 (-10.5%) and $8.91 million in FY2021 (+21.3%).
- Quarterly Receivables - Net has run from a low of $67,000 in Q1 2023 to a high of $19.44 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables - Net increased in two of the last eight quarters, with growth averaging 4.3%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q2 2022, with growth of 449.7%; the weakest was Q1 2023, with a decline of 99.6%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $19.44 million (Q1 2026), $9.36 million (Q4 2025) and $2.17 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.32 Mn |
| Mar 31, 2026 | 19.44 Mn |
| Dec 31, 2025 | 9.36 Mn |
| Sep 30, 2025 | 2.17 Mn |
| Jun 30, 2025 | 3.52 Mn |
| Mar 31, 2025 | 11.03 Mn |
| Dec 31, 2024 | 9.92 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 4.42 Mn |
| Mar 31, 2024 | 14.89 Mn |
| Dec 31, 2023 | 12.74 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 5.50 Mn |
| Mar 24, 2023 | 67,000.00 |
| Dec 31, 2022 | 7.97 Mn |
| Sep 30, 2022 | 4.02 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | 18.50 Mn |
| Dec 31, 2021 | 8.91 Mn |
| Sep 30, 2021 | 325,000.00 |
Dawson Geophysical Receivables - Net 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=receivables-net&ticker=DWSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();