Dawson Geophysical (DWSN) Property, Plant & Equipment (Net) (2010 - 2026)
Dawson Geophysical (DWSN) reported Property, Plant & Equipment (Net) of $31.72 million for Q2 2026, up 180.0% from $11.33 million a year earlier but down 4.6% from the prior quarter.
Dawson Geophysical (DWSN) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Dawson Geophysical posted Property, Plant & Equipment (Net) of $30.78 million, up 137.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $12.98 million in FY2024 (-21.4%), $16.51 million in FY2023 (-19.3%), $20.47 million in FY2022 (-22.3%) and $26.35 million in FY2021 (-32.3%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $1.32 million in Q1 2023 and a high of $33.25 million in Q1 2026.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last four quarters, with growth averaging 60.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2026 (growth of 183.9%); the low point was Q1 2023 (a decline of 94.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.25 million (Q1 2026), $30.78 million (Q4 2025) and $23.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 7.71 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 6.78 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 5.15 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 2.25 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 5.51 Bn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 1.99 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 12.24 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 2.26 Bn |
| 10 | Dawson Geophysical | 51.24 Mn | 33.01 Mn | 2.61 Mn | 31.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.72 Mn |
| Mar 31, 2026 | 33.25 Mn |
| Dec 31, 2025 | 30.78 Mn |
| Sep 30, 2025 | 23.82 Mn |
| Jun 30, 2025 | 11.33 Mn |
| Mar 31, 2025 | 11.71 Mn |
| Dec 31, 2024 | 12.98 Mn |
| Sep 30, 2024 | 14.28 Mn |
| Jun 30, 2024 | 15.08 Mn |
| Mar 31, 2024 | 16.29 Mn |
| Dec 31, 2023 | 16.51 Mn |
| Sep 30, 2023 | 16.45 Mn |
| Jun 30, 2023 | 17.41 Mn |
| Mar 31, 2023 | 18.38 Mn |
| Dec 31, 2022 | 20.47 Mn |
| Sep 30, 2022 | 19.10 Mn |
| Jun 30, 2022 | 21.30 Mn |
| Mar 31, 2022 | 23.78 Mn |
| Dec 31, 2021 | 26.35 Mn |
| Sep 30, 2021 | 28.94 Mn |
Dawson Geophysical Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=DWSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-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=property-plant-and-equipment-net&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();