Tetra Tech (TTEK) Operating Leases (2019 - 2026)
Tetra Tech's Operating Leases came in at $147.76 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 1.9% from $145.05 million a year earlier but down 5.2% from the prior quarter.
Tetra Tech (TTEK) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Tetra Tech's Operating Leases was $154.7 million, up 10.4% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- Going back by fiscal year, Operating Leases was $140.1 million in FY2024 (-3.2%), $144.69 million in FY2023 (-1.1%), $146.29 million in FY2022 (-16.1%) and $174.29 million in FY2021 (-9.2%).
- The five-year range for quarterly Operating Leases is $128.89 million (fiscal Q3 2024) to $174.29 million (fiscal Q4 2021).
- Year-over-year, Operating Leases has increased for six consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q1 2026 (growth of 14.6%), and the weakest in fiscal Q3 2024 (a decline of 21.4%).
- Business Quant data shows TTEK's Operating Leases at $155.83 million (Q2 2026), $154.44 million (Q1 2026) and $154.7 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 147.76 Mn |
| Mar 29, 2026 | 155.83 Mn |
| Dec 28, 2025 | 154.44 Mn |
| Sep 28, 2025 | 154.70 Mn |
| Jun 29, 2025 | 145.05 Mn |
| Mar 30, 2025 | 143.24 Mn |
| Dec 29, 2024 | 134.76 Mn |
| Sep 29, 2024 | 140.10 Mn |
| Jun 30, 2024 | 128.89 Mn |
| Mar 31, 2024 | 139.36 Mn |
| Dec 31, 2023 | 139.54 Mn |
| Oct 1, 2023 | 144.69 Mn |
| Jul 2, 2023 | 163.92 Mn |
| Apr 2, 2023 | 161.00 Mn |
| Jan 1, 2023 | 148.03 Mn |
| Oct 2, 2022 | 146.29 Mn |
| Jul 3, 2022 | 154.50 Mn |
| Apr 3, 2022 | 165.63 Mn |
| Jan 2, 2022 | 172.80 Mn |
| Oct 3, 2021 | 174.29 Mn |
Tetra Tech Operating Leases 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=operating-leases&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();