Tetra Tech (TTEK) Other Accumulated Expenses (2009 - 2026)
Tetra Tech (TTEK) posted Other Accumulated Expenses of $260.68 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 23.1% from $338.87 million a year earlier but up 4.6% from the prior quarter.
Tetra Tech (TTEK) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Tetra Tech's Other Accumulated Expenses came in at $288.11 million, up 16.2% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- In prior fiscal years, Tetra Tech's Other Accumulated Expenses was $247.9 million in FY2024 (-11.8%), $280.96 million in FY2023 (+47.6%), $190.41 million in FY2022 (-14.8%) and $223.52 million in FY2021 (+27.8%).
- Quarterly Other Accumulated Expenses has run from a low of $158.76 million in fiscal Q1 2023 to a high of $361.35 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2024, with growth of 52.9%; the weakest was fiscal Q1 2023, with a decline of 26.9%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $249.24 million (Q2 2026), $279.1 million (Q1 2026) and $288.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 260.68 Mn |
| Mar 29, 2026 | 249.24 Mn |
| Dec 28, 2025 | 279.10 Mn |
| Sep 28, 2025 | 288.11 Mn |
| Jun 29, 2025 | 338.87 Mn |
| Mar 30, 2025 | 302.24 Mn |
| Dec 29, 2024 | 361.35 Mn |
| Sep 29, 2024 | 247.90 Mn |
| Jun 30, 2024 | 244.84 Mn |
| Mar 31, 2024 | 235.82 Mn |
| Dec 31, 2023 | 242.74 Mn |
| Oct 1, 2023 | 280.96 Mn |
| Jul 2, 2023 | 284.42 Mn |
| Apr 2, 2023 | 268.14 Mn |
| Jan 1, 2023 | 158.76 Mn |
| Oct 2, 2022 | 190.41 Mn |
| Jul 3, 2022 | 216.08 Mn |
| Apr 3, 2022 | 213.38 Mn |
| Jan 2, 2022 | 217.06 Mn |
| Oct 3, 2021 | 223.52 Mn |
Tetra Tech Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();