Tetra Technologies (TTI) Inventory (2009 - 2026)
Tetra Technologies (TTI) recorded Inventory of $117.06 million in Q2 2026, up 7.8% from $108.54 million a year earlier but down 2.4% from the prior quarter.
Powered by 
Analysis
Tetra Technologies (TTI) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies reported Inventory of $115.73 million, up 13.8% from FY2024.
- Annual Inventory has increased for four straight years, with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $101.7 million in FY2024 (+5.3%), $96.54 million in FY2023 (+33.9%), $72.11 million in FY2022 (+4.4%) and $69.1 million in FY2021 (-9.9%).
- Quarterly Inventory has ranged from $62.6 million in Q2 2022 to $119.97 million in Q1 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for 15 consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 33.9% in Q4 2023, against a decline of 36.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $119.97 million (Q1 2026), $115.73 million (Q4 2025) and $105.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn | 5.44 Bn |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn | 4.96 Bn |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn | 3.06 Bn |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn | 1.24 Bn |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | - |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn | 1.95 Bn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 379.00 Mn |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn | 811.00 Mn |
| 10 | Tetra Technologies | 742.94 Mn | 402.70 Mn | 45.71 Mn | 117.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.06 Mn |
| Mar 31, 2026 | 119.97 Mn |
| Dec 31, 2025 | 115.73 Mn |
| Sep 30, 2025 | 105.86 Mn |
| Jun 30, 2025 | 108.54 Mn |
| Mar 31, 2025 | 106.49 Mn |
| Dec 31, 2024 | 101.70 Mn |
| Sep 30, 2024 | 97.70 Mn |
| Jun 30, 2024 | 82.78 Mn |
| Mar 31, 2024 | 94.29 Mn |
| Dec 31, 2023 | 96.54 Mn |
| Sep 30, 2023 | 92.13 Mn |
| Jun 30, 2023 | 81.83 Mn |
| Mar 31, 2023 | 83.94 Mn |
| Dec 31, 2022 | 72.11 Mn |
| Sep 30, 2022 | 71.56 Mn |
| Jun 30, 2022 | 62.60 Mn |
| Mar 31, 2022 | 64.65 Mn |
| Dec 31, 2021 | 69.10 Mn |
| Sep 30, 2021 | 72.29 Mn |
API Access
Tetra Technologies Inventory 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=inventory&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();