Tetra Technologies (TTI) Depreciation & Amortization (CF) (2009 - 2026)
Tetra Technologies (TTI) recorded Depreciation & Amortization (CF) of $9.82 million in Q3 2026, up 3.4% from $9.49 million a year earlier and up 2.2% from the prior quarter.
Tetra Technologies (TTI) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Tetra Technologies' Depreciation & Amortization (CF) came in at $37.86 million as of Sep 30, 2026, up 1.8% year-over-year; for FY2025, it came in at $37.1 million, up 3.9% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for three straight years, though with a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $35.72 million in FY2024 (+4.1%), $34.33 million in FY2023 (+4.6%), $32.82 million in FY2022 (-2.1%) and $33.53 million in FY2021 (-71.8%).
- The Q3 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q4 2020.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for three consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 12.9% in Q1 2023, against a decline of 73.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.6 million (Q2 2026), $9.18 million (Q1 2026) and $9.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 698.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 505.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 296.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 100.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 143.43 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 93.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 70.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 146.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 47.30 Mn |
| 10 | Tetra Technologies | 885.97 Mn | 495.98 Mn | 35.10 Mn | 9.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.82 Mn |
| Jun 30, 2026 | 9.60 Mn |
| Mar 31, 2026 | 9.18 Mn |
| Dec 31, 2025 | 9.27 Mn |
| Sep 30, 2025 | 9.49 Mn |
| Jun 30, 2025 | 9.19 Mn |
| Mar 31, 2025 | 9.15 Mn |
| Dec 31, 2024 | 9.35 Mn |
| Sep 30, 2024 | 8.84 Mn |
| Jun 30, 2024 | 8.78 Mn |
| Mar 31, 2024 | 8.76 Mn |
| Dec 31, 2023 | 8.62 Mn |
| Sep 30, 2023 | 8.58 Mn |
| Jun 30, 2023 | 8.46 Mn |
| Mar 31, 2023 | 8.67 Mn |
| Dec 31, 2022 | 8.76 Mn |
| Sep 30, 2022 | 8.63 Mn |
| Jun 30, 2022 | 7.75 Mn |
| Mar 31, 2022 | 7.68 Mn |
| Dec 31, 2021 | 8.01 Mn |
Tetra Technologies Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();