Tetra Tech (TTEK) Depreciation and Depletion (2010 - 2026)
Tetra Tech's Depreciation and Depletion was $5.7 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 5.6% from $5.4 million a year earlier and up 1.8% from the prior quarter.
Tetra Tech (TTEK) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tetra Tech's Depreciation and Depletion was $22 million through Jun 28, 2026, up 2.8% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $21.2 million, down 10.5% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation and Depletion was $23.7 million in FY2024 (+18.5%), $20 million in FY2023 (+43.9%), $13.9 million in FY2022 (+13.0%) and $12.3 million in FY2021 (-5.4%).
- Quarterly Depreciation and Depletion has moved between $3.2 million (fiscal Q3 2022) and $7 million (fiscal Q1 2024) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for three straight quarters, with an average decline of 4.8% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q1 2024 (growth of 118.8%); the worst was fiscal Q1 2025 (a decline of 22.9%).
- Per Business Quant data, TTEK's Depreciation and Depletion in the three fiscal quarters before Q3 2026 was $5.6 million (Q2 2026), $5.6 million (Q1 2026) and $5.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | - |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.70 Mn |
| Mar 29, 2026 | 5.60 Mn |
| Dec 28, 2025 | 5.60 Mn |
| Sep 28, 2025 | 5.10 Mn |
| Jun 29, 2025 | 5.40 Mn |
| Mar 30, 2025 | 5.20 Mn |
| Dec 29, 2024 | 5.40 Mn |
| Sep 29, 2024 | 5.40 Mn |
| Jun 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 5.60 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Oct 1, 2023 | 6.30 Mn |
| Jul 2, 2023 | 5.60 Mn |
| Apr 2, 2023 | 4.80 Mn |
| Jan 1, 2023 | 3.20 Mn |
| Oct 2, 2022 | 4.00 Mn |
| Jul 3, 2022 | 3.20 Mn |
| Apr 3, 2022 | 3.30 Mn |
| Jan 2, 2022 | 3.40 Mn |
| Oct 3, 2021 | 3.30 Mn |
Tetra Tech Depreciation and Depletion 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=depreciation-and-depletion&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();