Tetra Technologies (TTI) Non Operating Interest Expenses (2009 - 2026)
Tetra Technologies' Non Operating Interest Expenses came in at $2.36 million for Q3 2026, down 46.9% from $4.45 million a year earlier and down 27.7% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Tetra Technologies reported Non Operating Interest Expenses of $13.31 million, down 27.9% year-over-year; for FY2018, it was $70.95 million, up 23.9% from FY2017.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 32.9% (FY2013 to FY2018).
- Going back by year, Non Operating Interest Expenses was $57.25 million in FY2017 (-2.3%), $58.61 million in FY2016 (+7.6%), $54.48 million in FY2015 (+55.8%) and $34.97 million in FY2014 (+104.2%).
- The Q3 2026 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 27.7% over the last six quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2023 (growth of 64.7%), and the weakest in Q3 2026 (a decline of 46.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 133.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | - |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 12.40 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 34.99 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 21.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | - |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 134.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | Tetra Technologies | 885.97 Mn | 495.98 Mn | 35.10 Mn | 2.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.36 Mn |
| Jun 30, 2026 | 3.27 Mn |
| Mar 31, 2026 | 3.24 Mn |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 4.45 Mn |
| Jun 30, 2025 | 4.19 Mn |
| Mar 31, 2025 | 4.72 Mn |
| Dec 31, 2024 | 5.23 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 6.19 Mn |
| Mar 31, 2024 | 5.95 Mn |
| Dec 31, 2023 | 5.68 Mn |
| Sep 30, 2023 | 5.64 Mn |
| Jun 30, 2023 | 5.94 Mn |
| Mar 31, 2023 | 5.09 Mn |
| Dec 31, 2022 | 4.90 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 3.61 Mn |
| Mar 31, 2022 | 3.32 Mn |
| Dec 31, 2021 | 4.00 Mn |
API Access
Tetra Technologies Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();