Tetra Technologies (TTI) Depreciation & Amortization (CF) (2009 - 2026)
Tetra Technologies (TTI) recorded Depreciation & Amortization (CF) of $9.6 million in Q2 2026, up 4.5% from $9.19 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Tetra Technologies' Depreciation & Amortization (CF) came in at $37.54 million as of Jun 30, 2026, up 2.7% 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 Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q4 2020.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in seven of the last eight quarters, with growth averaging 4.0%.
- 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 $9.18 million (Q1 2026), $9.27 million (Q4 2025) and $9.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 712.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 333.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 97.10 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 296.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 93.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 139.58 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 148.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 71.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 44.60 Mn |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn | 9.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 8.31 Mn |
API Access
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_KEYimport 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();