Tetra Technologies (TTI) Change in Accrued Expenses (2009 - 2026)
Tetra Technologies (TTI) recorded Change in Accrued Expenses of $3.52 million in Q3 2026, down 14.5% from $4.11 million a year earlier and down 49.5% from the prior quarter.
Powered by 
Analysis
Tetra Technologies (TTI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Tetra Technologies' Change in Accrued Expenses came in at $18.73 million as of Sep 30, 2026, up 146.2% year-over-year; for FY2025, it came in at $27.43 million.
- Across earlier years, Change in Accrued Expenses came in at -$4.14 million in FY2024, -$128,000 in FY2023, $22.71 million in FY2022 (-15.9%) and $27.01 million in FY2021.
- Quarterly Change in Accrued Expenses has ranged from -$13.3 million in Q1 2026 to $21.56 million in Q4 2025 over the past five years.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 578.2% in Q3 2025, against a decline of 99.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.96 million (Q2 2026), -$13.3 million (Q1 2026) and $21.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 598.00 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 | - |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | - |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 23.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 37.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | Tetra Technologies | 885.97 Mn | 495.98 Mn | 35.10 Mn | 3.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.52 Mn |
| Jun 30, 2026 | 6.96 Mn |
| Mar 31, 2026 | -13.30 Mn |
| Dec 31, 2025 | 21.56 Mn |
| Sep 30, 2025 | 4.11 Mn |
| Jun 30, 2025 | 11.03 Mn |
| Mar 31, 2025 | -9.28 Mn |
| Dec 31, 2024 | 1.74 Mn |
| Sep 30, 2024 | 606,000.00 |
| Jun 30, 2024 | -913,000.00 |
| Mar 31, 2024 | -5.58 Mn |
| Dec 31, 2023 | -3.02 Mn |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 11.62 Mn |
| Mar 31, 2023 | -11.18 Mn |
| Dec 31, 2022 | 5.64 Mn |
| Sep 30, 2022 | 5.88 Mn |
| Jun 30, 2022 | 11.18 Mn |
| Mar 31, 2022 | 9,000.00 |
| Dec 31, 2021 | 1.78 Mn |
API Access
Tetra Technologies Change in Accrued 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=change-in-accured-expenses&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();