Dawson Geophysical (DWSN) Receivables (2010 - 2026)
Dawson Geophysical (DWSN) reported Receivables of $11.06 million for Q2 2026, up 0.3% from $11.02 million a year earlier but down 51.3% from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Dawson Geophysical posted Receivables of $13.23 million, up 27.6% from FY2024.
- Receivables has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By year, Receivables came in at $10.36 million in FY2024 (-39.2%), $17.05 million in FY2023 (+27.2%), $13.41 million in FY2022 (+35.7%) and $9.88 million in FY2021 (+34.5%).
- Five-year quarterly Receivables spans a low of $67,000 in Q1 2023 and a high of $22.72 million in Q1 2026.
- Year over year, Receivables has now increased in each of the last five quarters, with growth averaging 11.6% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2022 (growth of 534.3%); the low point was Q1 2023 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.72 million (Q1 2026), $13.2 million (Q4 2025) and $4.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.51 Bn | 70.44 Bn | 1.40 Bn | 9.13 Bn |
| 2 | Baker Hughes | 55.25 Bn | 18.36 Bn | 1.58 Bn | 8.60 Bn |
| 3 | Halliburton | 27.91 Bn | 19.63 Bn | 804.00 Mn | 5.33 Bn |
| 4 | TechnipFMC | 27.38 Bn | 23.52 Bn | 684.70 Mn | 2.78 Bn |
| 5 | Nov | 6.86 Bn | 1.59 Bn | 521.00 Mn | 2.48 Bn |
| 6 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | 547.81 Mn |
| 7 | Transocean | 6.54 Bn | 4.24 Bn | 358.00 Mn | 604.00 Mn |
| 8 | Valaris | 6.13 Bn | 3.75 Bn | 123.70 Mn | 467.60 Mn |
| 9 | Weatherford International | 6.01 Bn | 1.95 Bn | 333.00 Mn | 1.19 Bn |
| 10 | Dawson Geophysical | 65.21 Mn | 46.98 Mn | 2.61 Mn | 11.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.06 Mn |
| Mar 31, 2026 | 22.72 Mn |
| Dec 31, 2025 | 13.20 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 11.02 Mn |
| Mar 31, 2025 | 11.76 Mn |
| Dec 31, 2024 | 10.31 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 8.12 Mn |
| Mar 31, 2024 | 14.89 Mn |
| Dec 31, 2023 | 17.05 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 5.50 Mn |
| Mar 31, 2023 | 14.43 Mn |
| Dec 31, 2022 | 13.41 Mn |
| Sep 30, 2022 | 4.35 Mn |
| Jun 30, 2022 | 2.06 Mn |
| Mar 31, 2022 | 19.83 Mn |
| Dec 31, 2021 | 9.88 Mn |
| Sep 30, 2021 | 325,000.00 |
API Access
Dawson Geophysical Receivables 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&ticker=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();