Tetra Tech (TTEK) Shares Outstanding (Diluted) (2009 - 2026)
Tetra Tech (TTEK) reported Shares Outstanding (Diluted) of 259.78 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.9% from 264.86 million a year earlier and down 0.8% from the prior quarter.
Tetra Tech (TTEK) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 28, 2025), Tetra Tech posted Shares Outstanding (Diluted) of 267.12 million, down 1.1% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By fiscal year, Shares Outstanding (Diluted) came in at 270.04 million in FY2024 (+0.7%), 268.19 million in FY2023 (-1.0%), 270.82 million in FY2022 (-0.9%) and 273.38 million in FY2021 (-0.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q3 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last six quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q1 2025 (growth of 1.2%); the low point was fiscal Q1 2026 (a decline of 3.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 261.92 million (Q2 2026), 262.73 million (Q1 2026) and 267.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 268.54 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 507.00 Mn |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 259.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 259.78 Mn |
| Mar 29, 2026 | 261.92 Mn |
| Dec 28, 2025 | 262.73 Mn |
| Sep 28, 2025 | 267.12 Mn |
| Jun 29, 2025 | 264.86 Mn |
| Mar 30, 2025 | 267.44 Mn |
| Dec 29, 2024 | 271.89 Mn |
| Sep 29, 2024 | 270.04 Mn |
| Jun 30, 2024 | 270.26 Mn |
| Mar 31, 2024 | 269.38 Mn |
| Dec 31, 2023 | 268.69 Mn |
| Oct 1, 2023 | 268.19 Mn |
| Jul 2, 2023 | 268.27 Mn |
| Apr 2, 2023 | 268.14 Mn |
| Jan 1, 2023 | 267.65 Mn |
| Oct 2, 2022 | 270.82 Mn |
| Jul 3, 2022 | 270.03 Mn |
| Apr 3, 2022 | 271.73 Mn |
| Jan 2, 2022 | 272.89 Mn |
| Oct 3, 2021 | 273.38 Mn |
Tetra Tech Shares Outstanding (Diluted) 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-diluted&ticker=TTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=TTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();