Tetra Technologies (TTI) Long-Term Debt Repayments (2009 - 2026)
Tetra Technologies (TTI) reported Long-Term Debt Repayments of $1.27 million for Q2 2026, up 11.7% from $1.14 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tetra Technologies' Long-Term Debt Repayments came in at $5.1 million, up 124.2% year-over-year; for FY2025, it was $4.74 million, down 97.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -60.4% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $163.58 million in FY2024 (+62.8%), $100.5 million in FY2023 (+705.1%), $12.48 million in FY2022 (-75.3%) and $50.48 million in FY2021 (-89.6%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $25,000 in Q3 2022 and a high of $163.22 million in Q1 2024.
- Year over year, Long-Term Debt Repayments gained in three of the last six quarters, with growth averaging 70.2%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 716.0%); the low point was Q3 2022 (a decline of 99.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.17 million (Q1 2026), $1.32 million (Q4 2025) and $1.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.21 Bn | 72.14 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 55.83 Bn | 18.93 Bn | 1.58 Bn | - |
| 3 | Halliburton | 28.32 Bn | 20.04 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.95 Bn | 24.09 Bn | 684.70 Mn | - |
| 5 | Noble | 7.04 Bn | 4.97 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Nov | 6.96 Bn | 1.70 Bn | 521.00 Mn | 17.00 Mn |
| 7 | Transocean | 6.72 Bn | 4.43 Bn | 358.00 Mn | 30.00 Mn |
| 8 | Valaris | 6.31 Bn | 3.93 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.18 Bn | 2.11 Bn | 333.00 Mn | 9.00 Mn |
| 10 | Tetra Technologies | 742.94 Mn | 402.70 Mn | 45.71 Mn | 1.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.42 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 1.24 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 482,000.00 |
| Sep 30, 2024 | 523,000.00 |
| Jun 30, 2024 | 520,000.00 |
| Mar 31, 2024 | 163.49 Mn |
| Dec 31, 2023 | 2.91 Mn |
| Sep 30, 2023 | 352,000.00 |
| Jun 30, 2023 | 51.31 Mn |
| Mar 31, 2023 | 47.62 Mn |
| Dec 31, 2022 | 9.32 Mn |
| Sep 30, 2022 | 25,000.00 |
| Jun 30, 2022 | 3.63 Mn |
| Mar 31, 2022 | 811,000.00 |
| Dec 31, 2021 | 13.00 Mn |
| Sep 30, 2021 | 8.16 Mn |
API Access
Tetra Technologies 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=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TTI", "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=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();