Tetra Tech (TTEK) Cost of Revenue (2015 - 2026)
Tetra Tech (TTEK) recorded Cost of Revenue of $200 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 7.8% from $216.8 million a year earlier but up 17.3% from the prior quarter.
Tetra Tech (TTEK) Cost of Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, Tetra Tech's Cost of Revenue came in at $710.8 million as of Jun 28, 2026; for FY2025 (ended Sep 28, 2025), it came in at $825.23 million, down 5.9% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $876.82 million in FY2024 (+13.7%), $771.46 million in FY2023 (-73.7%), $2.93 billion in FY2022 (+7.9%) and $2.72 billion in FY2021 (+6.5%).
- Quarterly Cost of Revenue has ranged from -$2.33 billion in fiscal Q4 2024 to $1.12 billion in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for three consecutive quarters, with an average decline of 48.4% over the last six quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 40.0% in fiscal Q1 2024, against a decline of 80.7% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $170.52 million (Q2 2026), $173.49 million (Q1 2026) and $166.79 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 200.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 200.00 Mn |
| Mar 29, 2026 | 170.52 Mn |
| Dec 28, 2025 | 173.49 Mn |
| Sep 28, 2025 | 166.79 Mn |
| Jun 29, 2025 | 216.80 Mn |
| Mar 30, 2025 | 218.41 Mn |
| Dec 29, 2024 | 223.23 Mn |
| Sep 29, 2024 | -2.33 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Oct 1, 2023 | -1.98 Bn |
| Jul 2, 2023 | 1.02 Bn |
| Apr 2, 2023 | 987.38 Mn |
| Jan 1, 2023 | 741.52 Mn |
| Oct 2, 2022 | 746.53 Mn |
| Jul 3, 2022 | 745.65 Mn |
| Apr 3, 2022 | 717.57 Mn |
| Jan 2, 2022 | 718.74 Mn |
| Oct 3, 2021 | 748.10 Mn |
Tetra Tech Cost of Revenue 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=cost-of-revenue&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();