Cactus (WHD) Long-Term Debt Repayments (2017 - 2026)
Cactus (WHD) posted Long-Term Debt Repayments of $2 million for Q2 2026, up 2.2% from $1.95 million a year earlier and up 4.2% from the prior quarter.
Cactus (WHD) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Cactus was $7.66 million, down 2.6% year-over-year; for FY2025, it was $7.69 million, down 2.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Cactus' Long-Term Debt Repayments was $7.88 million in FY2024 (-94.9%), $155 million in FY2023, $6.06 million in FY2022 (+16.3%) and $5.21 million in FY2021 (-2.1%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2024.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last seven quarters, with an average decline of 15.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2021, with growth of 34.1%; the weakest was Q2 2024, with a decline of 98.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.91 million (Q1 2026), $1.87 million (Q4 2025) and $1.88 million (Q3 2025).
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 | Cactus | 4.47 Bn | 3.24 Bn | 149.72 Mn | 2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 1.91 Mn |
| Dec 31, 2025 | 1.87 Mn |
| Sep 30, 2025 | 1.88 Mn |
| Jun 30, 2025 | 1.95 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 1.93 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 2.07 Mn |
| Sep 30, 2023 | 56.99 Mn |
| Jun 30, 2023 | 101.89 Mn |
| Mar 31, 2023 | 1.71 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 1.55 Mn |
| Mar 31, 2022 | 1.44 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Sep 30, 2021 | 1.36 Mn |
Cactus 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=WHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WHD", "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=WHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();