Tetra Tech (TTEK) Amortization - Intangibles (2010 - 2026)
Tetra Tech (TTEK) posted Amortization - Intangibles of $9 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 8.4% from $8.3 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Tetra Tech (TTEK) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Amortization - Intangibles at Tetra Tech was $35.7 million, down 8.9% year-over-year; for FY2025 (ended Sep 28, 2025), it was $37.1 million, down 25.8% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In prior fiscal years, Tetra Tech's Amortization - Intangibles was $50 million in FY2024 (+21.4%), $41.2 million in FY2023 (+212.1%), $13.2 million in FY2022 (+14.8%) and $11.5 million in FY2021 (-0.9%).
- Quarterly Amortization - Intangibles has run from a low of $2.7 million in fiscal Q1 2022 to a high of $14.1 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in two of the last eight quarters, with an average decline of 14.0%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q3 2023, with growth of 281.1%; the weakest was fiscal Q3 2025, with a decline of 39.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $8.8 million (Q2 2026), $8.4 million (Q1 2026) and $9.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.00 Mn |
| Mar 29, 2026 | 8.80 Mn |
| Dec 28, 2025 | 8.40 Mn |
| Sep 28, 2025 | 9.50 Mn |
| Jun 29, 2025 | 8.30 Mn |
| Mar 30, 2025 | 8.60 Mn |
| Dec 29, 2024 | 10.70 Mn |
| Sep 29, 2024 | 11.60 Mn |
| Jun 30, 2024 | 13.80 Mn |
| Mar 31, 2024 | 12.10 Mn |
| Dec 31, 2023 | 12.50 Mn |
| Oct 1, 2023 | 11.60 Mn |
| Jul 2, 2023 | 14.10 Mn |
| Apr 2, 2023 | 12.10 Mn |
| Jan 1, 2023 | 3.40 Mn |
| Oct 2, 2022 | 3.60 Mn |
| Jul 3, 2022 | 3.70 Mn |
| Apr 3, 2022 | 3.20 Mn |
| Jan 2, 2022 | 2.70 Mn |
| Oct 3, 2021 | 3.70 Mn |
API Access
Tetra Tech Amortization - Intangibles 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=amortization-intangibles&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "TTEK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();