Tetra Tech (TTEK) Tax Provisions (2009 - 2026)
Tetra Tech's Tax Provisions was $40.97 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 4.3% from $42.82 million a year earlier but up 22.1% from the prior quarter.
Tetra Tech (TTEK) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tetra Tech's Tax Provisions was $157.48 million through Jun 28, 2026, up 28.8% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $129.67 million, down 0.3% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $130.02 million in FY2024 (+2.0%), $127.53 million in FY2023 (+49.0%), $85.6 million in FY2022 (+151.5%) and $34.04 million in FY2021 (-37.1%).
- Quarterly Tax Provisions has moved between -$4.34 million (fiscal Q4 2021) and $46.62 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last eight quarters, with growth averaging 19.8%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q1 2026 (growth of 150.2%); the worst was fiscal Q1 2025 (a decline of 45.2%).
- Per Business Quant data, TTEK's Tax Provisions in the three fiscal quarters before Q3 2026 was $33.54 million (Q2 2026), $36.35 million (Q1 2026) and $46.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 45.84 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 37.90 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 40.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 40.97 Mn |
| Mar 29, 2026 | 33.54 Mn |
| Dec 28, 2025 | 36.35 Mn |
| Sep 28, 2025 | 46.62 Mn |
| Jun 29, 2025 | 42.82 Mn |
| Mar 30, 2025 | 25.70 Mn |
| Dec 29, 2024 | 14.53 Mn |
| Sep 29, 2024 | 39.27 Mn |
| Jun 30, 2024 | 32.89 Mn |
| Mar 31, 2024 | 31.34 Mn |
| Dec 31, 2023 | 26.52 Mn |
| Oct 1, 2023 | 40.75 Mn |
| Jul 2, 2023 | 22.57 Mn |
| Apr 2, 2023 | 26.25 Mn |
| Jan 1, 2023 | 37.96 Mn |
| Oct 2, 2022 | 29.13 Mn |
| Jul 3, 2022 | 22.33 Mn |
| Apr 3, 2022 | 18.33 Mn |
| Jan 2, 2022 | 15.82 Mn |
| Oct 3, 2021 | -4.34 Mn |
Tetra Tech Tax Provisions 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=tax-provisions&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();