Dawson Geophysical (DWSN) Long-Term Debt Repayments (2010 - 2026)
Dawson Geophysical's Long-Term Debt Repayments came in at $2 million for Q2 2026, up 219.5% from $626,000 a year earlier but down 52.9% from the prior quarter.
Dawson Geophysical (DWSN) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dawson Geophysical reported Long-Term Debt Repayments of $8.68 million, up 602.6% year-over-year; for FY2025, it was $3.5 million, up 269.6% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $947,000 in FY2024 (+5.7%), $896,000 in FY2023 (-28.5%), $1.25 million in FY2022 (+123.0%) and $562,000 in FY2021 (-93.4%).
- The five-year range for quarterly Long-Term Debt Repayments is $36,000 (Q4 2024) to $4.25 million (Q1 2026).
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 211.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 865.9%), and the weakest in Q4 2024 (a decline of 90.4%).
- Business Quant data shows DWSN's Long-Term Debt Repayments at $4.25 million (Q1 2026), $1.71 million (Q4 2025) and $729,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | - |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | - |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 17.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 30.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 9.00 Mn |
| 10 | Dawson Geophysical | 66.76 Mn | 48.54 Mn | 2.61 Mn | 3.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.95 Mn |
| Mar 31, 2026 | 5.94 Mn |
| Dec 31, 2025 | 4.69 Mn |
| Sep 30, 2025 | 954,000.00 |
| Jun 30, 2025 | 821,000.00 |
| Mar 31, 2025 | 631,000.00 |
| Dec 31, 2024 | 213,000.00 |
| Sep 30, 2024 | 297,000.00 |
| Jun 30, 2024 | 535,000.00 |
| Mar 31, 2024 | 582,000.00 |
| Dec 31, 2023 | 478,000.00 |
| Sep 30, 2023 | 272,000.00 |
| Jun 30, 2023 | 230,000.00 |
| Mar 31, 2023 | 169,000.00 |
| Dec 31, 2022 | 163,000.00 |
| Sep 30, 2022 | 406,000.00 |
| Jun 30, 2022 | 394,000.00 |
| Mar 31, 2022 | 337,000.00 |
| Dec 31, 2021 | 184,000.00 |
| Sep 30, 2021 | 169,000.00 |
Dawson Geophysical Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DWSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();