Tetra Tech (TTEK) Cash & Equivalents (2009 - 2026)
Tetra Tech's Cash & Equivalents came in at $230.84 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 4.9% from $242.83 million a year earlier but up 3.2% from the prior quarter.
Tetra Tech (TTEK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Tetra Tech's Cash & Equivalents was $167.46 million, down 28.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $232.69 million in FY2024 (+37.8%), $168.83 million in FY2023 (-8.8%), $185.09 million in FY2022 (+11.1%) and $166.57 million in FY2021 (+5.7%).
- The five-year range for quarterly Cash & Equivalents is $164.4 million (fiscal Q1 2023) to $269.45 million (fiscal Q1 2026).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 7.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2024 (growth of 37.8%), and the weakest in fiscal Q4 2025 (a decline of 28.0%).
- Business Quant data shows TTEK's Cash & Equivalents at $223.61 million (Q2 2026), $269.45 million (Q1 2026) and $167.46 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 129.05 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 434.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 1.49 Bn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 499.43 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 2.47 Bn |
| 10 | Tetra Tech | 9.47 Bn | 8.58 Bn | 243.21 Mn | 230.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 230.84 Mn |
| Mar 29, 2026 | 223.61 Mn |
| Dec 28, 2025 | 269.45 Mn |
| Sep 28, 2025 | 167.46 Mn |
| Jun 29, 2025 | 242.83 Mn |
| Mar 30, 2025 | 179.43 Mn |
| Dec 29, 2024 | 248.10 Mn |
| Sep 29, 2024 | 232.69 Mn |
| Jun 30, 2024 | 212.32 Mn |
| Mar 31, 2024 | 210.29 Mn |
| Dec 31, 2023 | 198.69 Mn |
| Oct 1, 2023 | 168.83 Mn |
| Jul 2, 2023 | 176.06 Mn |
| Apr 2, 2023 | 231.39 Mn |
| Jan 1, 2023 | 164.40 Mn |
| Oct 2, 2022 | 185.09 Mn |
| Jul 3, 2022 | 217.38 Mn |
| Apr 3, 2022 | 194.38 Mn |
| Jan 2, 2022 | 205.54 Mn |
| Oct 3, 2021 | 166.57 Mn |
Tetra Tech Cash & Equivalents 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=cash-and-equivalents&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();