Tetra Technologies (TTI) Property, Plant & Equipment (Net) (2009 - 2026)
Tetra Technologies (TTI) recorded Property, Plant & Equipment (Net) of $256.53 million in Q3 2026, up 48.1% from $173.2 million a year earlier and up 11.5% from the prior quarter.
Tetra Technologies (TTI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies reported Property, Plant & Equipment (Net) of $194.2 million, up 36.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four straight years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $142.16 million in FY2024 (+32.0%), $107.72 million in FY2023 (+6.0%), $101.58 million in FY2022 (+14.2%) and $88.98 million in FY2021 (-8.1%).
- The Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q3 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 18 consecutive quarters, with growth averaging 36.7% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 48.1% in Q3 2026, against a decline of 8.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $230.17 million (Q2 2026), $203.22 million (Q1 2026) and $194.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 7.71 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 6.78 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 5.15 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 2.25 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 5.51 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.99 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 12.24 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 2.26 Bn |
| 10 | Tetra Technologies | 885.97 Mn | 495.98 Mn | 35.10 Mn | 256.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 256.53 Mn |
| Jun 30, 2026 | 230.17 Mn |
| Mar 31, 2026 | 203.22 Mn |
| Dec 31, 2025 | 194.20 Mn |
| Sep 30, 2025 | 173.20 Mn |
| Jun 30, 2025 | 162.39 Mn |
| Mar 31, 2025 | 149.28 Mn |
| Dec 31, 2024 | 142.16 Mn |
| Sep 30, 2024 | 129.26 Mn |
| Jun 30, 2024 | 121.58 Mn |
| Mar 31, 2024 | 113.37 Mn |
| Dec 31, 2023 | 107.72 Mn |
| Sep 30, 2023 | 106.08 Mn |
| Jun 30, 2023 | 109.49 Mn |
| Mar 31, 2023 | 105.25 Mn |
| Dec 31, 2022 | 101.58 Mn |
| Sep 30, 2022 | 95.03 Mn |
| Jun 30, 2022 | 94.72 Mn |
| Mar 31, 2022 | 89.39 Mn |
| Dec 31, 2021 | 88.98 Mn |
Tetra Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();