Tetra Tech (TTEK) Shares Outstanding (2009 - 2026)
Tetra Tech (TTEK) recorded Shares Outstanding of 258.15 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.9% from 263.03 million a year earlier and down 0.8% from the prior quarter.
Tetra Tech (TTEK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 28, 2025), Tetra Tech reported Shares Outstanding of 264.71 million, down 1.0% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding came in at 267.36 million in FY2024 (+0.5%), 266.02 million in FY2023 (-0.8%), 268.1 million in FY2022 (-0.8%) and 270.39 million in FY2021 (-0.3%).
- The fiscal Q3 2026 figure is the lowest quarterly Shares Outstanding in data going back to fiscal Q3 2009.
- On a year-over-year basis, Shares Outstanding has declined for six consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.5% in fiscal Q3 2024, against a decline of 2.6% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 260.14 million (Q2 2026), 260.81 million (Q1 2026) and 264.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 612.21 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 401.27 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 297.74 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 433.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.38 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 263.59 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 202.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 66.50 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 504.80 Mn |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 258.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 258.15 Mn |
| Mar 29, 2026 | 260.14 Mn |
| Dec 28, 2025 | 260.81 Mn |
| Sep 28, 2025 | 264.71 Mn |
| Jun 29, 2025 | 263.03 Mn |
| Mar 30, 2025 | 265.73 Mn |
| Dec 29, 2024 | 267.85 Mn |
| Sep 29, 2024 | 267.36 Mn |
| Jun 30, 2024 | 267.58 Mn |
| Mar 31, 2024 | 267.42 Mn |
| Dec 31, 2023 | 266.59 Mn |
| Oct 1, 2023 | 266.02 Mn |
| Jul 2, 2023 | 266.16 Mn |
| Apr 2, 2023 | 266.14 Mn |
| Jan 1, 2023 | 265.35 Mn |
| Oct 2, 2022 | 268.10 Mn |
| Jul 3, 2022 | 267.54 Mn |
| Apr 3, 2022 | 269.17 Mn |
| Jan 2, 2022 | 269.69 Mn |
| Oct 3, 2021 | 270.39 Mn |
Tetra Tech Shares Outstanding 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=shares-outstanding&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();