Tetra Tech (TTEK) EBITDA (2009 - 2026)
Tetra Tech (TTEK) recorded EBITDA of $172.69 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 3.4% from $178.68 million a year earlier but up 18.4% from the prior quarter.
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Analysis
Tetra Tech (TTEK) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Tetra Tech's EBITDA came in at $669.49 million as of Jun 28, 2026, up 55.3% year-over-year; for FY2025 (ended Sep 28, 2025), it was $466.7 million, down 18.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $574.41 million in FY2024 (+37.0%), $419.32 million in FY2023 (+14.1%), $367.48 million in FY2022 (+21.5%) and $302.51 million in FY2021 (+13.9%).
- Quarterly EBITDA has ranged from $38.59 million in fiscal Q1 2025 to $195.94 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 51.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 301.6% in fiscal Q1 2026, against a decline of 70.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $145.86 million (Q2 2026), $154.99 million (Q1 2026) and $195.94 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 172.69 Mn |
| Mar 29, 2026 | 145.86 Mn |
| Dec 28, 2025 | 154.99 Mn |
| Sep 28, 2025 | 195.94 Mn |
| Jun 29, 2025 | 178.68 Mn |
| Mar 30, 2025 | 53.48 Mn |
| Dec 29, 2024 | 38.59 Mn |
| Sep 29, 2024 | 160.30 Mn |
| Jun 30, 2024 | 148.13 Mn |
| Mar 31, 2024 | 135.41 Mn |
| Dec 31, 2023 | 130.57 Mn |
| Oct 1, 2023 | 125.36 Mn |
| Jul 2, 2023 | 117.36 Mn |
| Apr 2, 2023 | 77.93 Mn |
| Jan 1, 2023 | 98.67 Mn |
| Oct 2, 2022 | 102.29 Mn |
| Jul 3, 2022 | 90.79 Mn |
| Apr 3, 2022 | 81.07 Mn |
| Jan 2, 2022 | 93.33 Mn |
| Oct 3, 2021 | 88.83 Mn |
API Access
Tetra Tech EBITDA 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=ebitda&ticker=TTEK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();