Tetra Tech (TTEK) Cash & Equivalents (2009 - 2026)
Tetra Tech's Cash & Equivalents came in at $235.08 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 40.4% from $167.46 million a year earlier and up 1.8% from the prior quarter.
Powered by 
Analysis
Tetra Tech (TTEK) Cash & Equivalents (2009 - 2026) Analysis & Trends
Going back to fiscal Q2 2009, Tetra Tech's Cash & Equivalents data covers 71 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $167.46 million in FY2025 (-28.0%), $232.69 million in FY2024 (+37.8%), $168.83 million in FY2023 (-8.8%) and $185.09 million in FY2022 (+11.1%).
- 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 8.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2026 (growth of 40.4%), and the weakest in fiscal Q4 2025 (a decline of 28.0%).
- Business Quant data shows TTEK's Cash & Equivalents at $230.84 million (Q3 2026), $223.61 million (Q2 2026) and $269.45 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 167.47 Bn | 126.56 Bn | 5.98 Bn | 12.83 Bn |
| 2 | Cintas | 90.39 Bn | 89.47 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.89 Bn | 33.40 Bn | 1.06 Bn | 188.16 Mn |
| 4 | Rollins | 18.59 Bn | 18.13 Bn | 582.90 Mn | 129.05 Mn |
| 5 | APi | 18.49 Bn | 15.71 Bn | 770.00 Mn | 373.00 Mn |
| 6 | UL Solutions | 16.23 Bn | 14.26 Bn | 423.00 Mn | 1.02 Bn |
| 7 | Aramark | 14.21 Bn | 12.22 Bn | 430.34 Mn | 499.43 Mn |
| 8 | Gartner | 12.11 Bn | 5.60 Bn | 1.07 Bn | 1.63 Bn |
| 9 | Rentokil Initial | 12.07 Bn | 5.59 Bn | - | 2.47 Bn |
| 10 | Tetra Tech | 9.94 Bn | 9.94 Bn | 265.89 Mn | 235.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 235.08 Mn |
| 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 |
API Access
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_KEYimport 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();