TaskUs (TASK) Shares Outstanding (Diluted) (2020 - 2026)
TaskUs (TASK) posted Shares Outstanding (Diluted) of 92.5 million for Q2 2026, down 0.1% from 92.58 million a year earlier and down 0.6% from the prior quarter.
TaskUs (TASK) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, TaskUs' Shares Outstanding (Diluted) came in at 93.03 million, up 0.8% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, TaskUs' Shares Outstanding (Diluted) was 92.3 million in FY2024 (-4.0%), 96.17 million in FY2023 (-6.3%), 102.6 million in FY2022 (+8.2%) and 94.83 million in FY2021 (+3.4%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with an average decline of 0.2%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 19.3%; the weakest was Q1 2024, with a decline of 9.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 93.09 million (Q1 2026), 93.03 million (Q4 2025) and 93.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 481.39 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 268.54 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | 507.00 Mn |
| 10 | TaskUs | 754.03 Mn | -185,549.04 | 107.15 Mn | 92.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.50 Mn |
| Mar 31, 2026 | 93.09 Mn |
| Dec 31, 2025 | 93.03 Mn |
| Sep 30, 2025 | 93.06 Mn |
| Jun 30, 2025 | 92.58 Mn |
| Mar 31, 2025 | 93.66 Mn |
| Dec 31, 2024 | 92.30 Mn |
| Sep 30, 2024 | 92.58 Mn |
| Jun 30, 2024 | 91.63 Mn |
| Mar 31, 2024 | 91.85 Mn |
| Dec 31, 2023 | 96.17 Mn |
| Sep 30, 2023 | 94.04 Mn |
| Jun 30, 2023 | 98.20 Mn |
| Mar 31, 2023 | 100.95 Mn |
| Dec 31, 2022 | 102.60 Mn |
| Sep 30, 2022 | 101.92 Mn |
| Jun 30, 2022 | 103.18 Mn |
| Mar 31, 2022 | 104.12 Mn |
| Dec 31, 2021 | 94.83 Mn |
| Sep 30, 2021 | 109.43 Mn |
TaskUs 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=TASK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TASK", "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=TASK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();