Dawson Geophysical (DWSN) Non-Current Assets (2010 - 2026)
Dawson Geophysical (DWSN) posted Non-Current Assets of $34.81 million for Q2 2026, up 144.1% from $14.26 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Dawson Geophysical (DWSN) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Dawson Geophysical's Non-Current Assets came in at $34.18 million, up 109.3% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In prior years, Dawson Geophysical's Non-Current Assets was $16.33 million in FY2024 (-18.7%), $20.09 million in FY2023 (-19.1%), $24.85 million in FY2022 (-20.3%) and $31.18 million in FY2021 (-30.4%).
- Quarterly Non-Current Assets has run from a low of $14.26 million in Q2 2025 to a high of $36.55 million in Q1 2026 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last four quarters, with growth averaging 47.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2026, with growth of 146.7%; the weakest was Q4 2021, with a decline of 30.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $36.55 million (Q1 2026), $34.18 million (Q4 2025) and $27.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.92 Bn | 71.85 Bn | 1.40 Bn | 35.29 Bn |
| 2 | Baker Hughes | 55.72 Bn | 18.82 Bn | 1.58 Bn | 22.04 Bn |
| 3 | Halliburton | 28.20 Bn | 19.92 Bn | 804.00 Mn | 13.95 Bn |
| 4 | TechnipFMC | 27.76 Bn | 23.90 Bn | 684.70 Mn | 4.47 Bn |
| 5 | Noble | 6.96 Bn | 4.89 Bn | 239.27 Mn | 6.06 Bn |
| 6 | Nov | 6.93 Bn | 1.66 Bn | 521.00 Mn | 5.41 Bn |
| 7 | Transocean | 6.66 Bn | 4.37 Bn | 358.00 Mn | 13.26 Bn |
| 8 | Valaris | 6.26 Bn | 3.88 Bn | 123.70 Mn | 4.25 Bn |
| 9 | Weatherford International | 6.02 Bn | 1.96 Bn | 333.00 Mn | 1.80 Bn |
| 10 | Dawson Geophysical | 67.38 Mn | 49.16 Mn | 2.61 Mn | 34.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.81 Mn |
| Mar 31, 2026 | 36.55 Mn |
| Dec 31, 2025 | 34.18 Mn |
| Sep 30, 2025 | 27.39 Mn |
| Jun 30, 2025 | 14.26 Mn |
| Mar 31, 2025 | 14.81 Mn |
| Dec 31, 2024 | 16.33 Mn |
| Sep 30, 2024 | 17.00 Mn |
| Jun 30, 2024 | 18.07 Mn |
| Mar 31, 2024 | 19.59 Mn |
| Dec 31, 2023 | 20.09 Mn |
| Sep 30, 2023 | 20.29 Mn |
| Jun 30, 2023 | 21.57 Mn |
| Mar 31, 2023 | 22.79 Mn |
| Dec 31, 2022 | 24.85 Mn |
| Sep 30, 2022 | 23.72 Mn |
| Jun 30, 2022 | 26.15 Mn |
| Mar 31, 2022 | 28.89 Mn |
| Dec 31, 2021 | 31.18 Mn |
| Sep 30, 2021 | 34.04 Mn |
API Access
Dawson Geophysical Non-Current Assets 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=non-current-assets&ticker=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();