Select Water Solutions (WTTR) Long-Term Debt Repayments (2016 - 2026)
Select Water Solutions (WTTR) posted Long-Term Debt Repayments of $161,000 for Q2 2026, down 28.1% from $224,000 a year earlier but up 1.9% from the prior quarter.
Select Water Solutions (WTTR) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Select Water Solutions was $607,000, up 41.2% year-over-year; for FY2025, it came in at $601,000, up 160.2% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Select Water Solutions' Long-Term Debt Repayments was $231,000 in FY2024 (+135.7%), $98,000 in FY2023 (-99.6%), $22.08 million in FY2022 and $320,000 in FY2021 (+21.2%).
- Quarterly Long-Term Debt Repayments has run from a low of $5,000 in Q1 2023 to a high of $18.78 million in Q1 2022 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in seven of the last eight quarters, with growth averaging 101.9%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2024, with growth of 860.0%; the weakest was Q1 2023, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $158,000 (Q1 2026), $159,000 (Q4 2025) and $129,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.10 Bn | 73.72 Bn | 1.57 Bn | -14.00 Mn |
| 2 | Baker Hughes | 49.52 Bn | 11.68 Bn | 1.96 Bn | - |
| 3 | Halliburton | 27.29 Bn | 19.23 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.15 Bn | 21.12 Bn | 728.70 Mn | - |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 1.10 Mn |
| 6 | Nov | 6.43 Bn | 1.37 Bn | 439.00 Mn | 7.00 Mn |
| 7 | Weatherford International | 6.24 Bn | 2.01 Bn | 374.00 Mn | 8.00 Mn |
| 8 | Transocean | 6.10 Bn | 4.14 Bn | 348.00 Mn | 132.00 Mn |
| 9 | Valaris | 5.75 Bn | 3.50 Bn | 176.30 Mn | - |
| 10 | Select Water Solutions | 2.15 Bn | 2.11 Bn | 76.84 Mn | 215,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215,000.00 |
| Mar 31, 2026 | 158,000.00 |
| Dec 31, 2025 | 159,000.00 |
| Sep 30, 2025 | 129,000.00 |
| Jun 30, 2025 | 224,000.00 |
| Mar 31, 2025 | 89,000.00 |
| Dec 31, 2024 | 68,000.00 |
| Sep 30, 2024 | 49,000.00 |
| Jun 30, 2024 | 48,000.00 |
| Mar 31, 2024 | 66,000.00 |
| Dec 31, 2023 | 43,000.00 |
| Sep 30, 2023 | 45,000.00 |
| Jun 30, 2023 | 5,000.00 |
| Mar 31, 2023 | 5,000.00 |
| Dec 31, 2022 | 3.30 Mn |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 42,000.00 |
| Mar 31, 2022 | 18.84 Mn |
| Dec 31, 2021 | 82,000.00 |
| Sep 30, 2021 | 82,000.00 |
Select Water Solutions 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=WTTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WTTR", "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=WTTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();