Tetra Technologies (TTI) Total Debt (2009 - 2026)
Tetra Technologies (TTI) recorded Total Debt of $183.32 million in Q2 2026, up 1.6% from $180.5 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies reported Total Debt of $181.36 million, up 0.9% from FY2024.
- Annual Total Debt has increased for four straight years, though with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $179.7 million in FY2024 (+14.1%), $157.51 million in FY2023 (+0.7%), $156.46 million in FY2022 (+3.0%) and $151.94 million in FY2021 (-24.0%).
- The Q2 2026 figure is the highest quarterly Total Debt since Q4 2020.
- On a year-over-year basis, Total Debt has increased for 15 consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 14.1% in Q4 2024, against a decline of 80.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $181.82 million (Q1 2026), $181.36 million (Q4 2025) and $180.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 12.80 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 16.25 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 401.90 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 90.00 Mn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.71 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 1.89 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.48 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 5.12 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 1.09 Bn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 183.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.32 Mn |
| Mar 31, 2026 | 181.82 Mn |
| Dec 31, 2025 | 181.36 Mn |
| Sep 30, 2025 | 180.92 Mn |
| Jun 30, 2025 | 180.50 Mn |
| Mar 31, 2025 | 180.10 Mn |
| Dec 31, 2024 | 179.70 Mn |
| Sep 30, 2024 | 179.71 Mn |
| Jun 30, 2024 | 179.67 Mn |
| Mar 31, 2024 | 179.39 Mn |
| Dec 31, 2023 | 157.51 Mn |
| Sep 30, 2023 | 158.66 Mn |
| Jun 30, 2023 | 157.91 Mn |
| Mar 31, 2023 | 162.67 Mn |
| Dec 31, 2022 | 156.46 Mn |
| Sep 30, 2022 | 153.89 Mn |
| Jun 30, 2022 | 153.20 Mn |
| Mar 31, 2022 | 154.06 Mn |
| Dec 31, 2021 | 151.94 Mn |
| Sep 30, 2021 | 164.23 Mn |
API Access
Tetra Technologies Total Debt 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=total-debt&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();