Trade Desk (TTD) Shares Outstanding (Entity) (2015 - 2026)
Trade Desk's Shares Outstanding (Entity) came in at 469.64 million for Q2 2026, down 4.1% from 489.9 million a year earlier and down 0.3% from the prior quarter.
Trade Desk (TTD) Shares Outstanding (Entity) (2015 - 2026) Analysis & Trends
For FY2025, Trade Desk's Shares Outstanding (Entity) was 475.92 million, down 4.1% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 496.1 million in FY2024 (+1.5%), 488.92 million in FY2023 (-0.3%), 490.47 million in FY2022 (+11.7%) and 439.21 million in FY2021 (+3.7%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) since Q3 2022.
- Year-over-year, Shares Outstanding (Entity) has declined for five consecutive quarters, with an average decline of 1.5% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q4 2022 (growth of 11.7%), and the weakest in Q2 2022 (a decline of 6.6%).
- Business Quant data shows TTD's Shares Outstanding (Entity) at 471 million (Q1 2026), 475.92 million (Q4 2025) and 484.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.55 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.16 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 751.38 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | - |
| 10 | Trade Desk | 5.72 Bn | 75.78 Mn | 530.72 Mn | 469.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 469.64 Mn |
| Mar 31, 2026 | 471.00 Mn |
| Dec 31, 2025 | 475.92 Mn |
| Sep 30, 2025 | 484.73 Mn |
| Jun 30, 2025 | 489.90 Mn |
| Mar 31, 2025 | 491.32 Mn |
| Dec 31, 2024 | 496.10 Mn |
| Sep 30, 2024 | 493.45 Mn |
| Jun 30, 2024 | 491.60 Mn |
| Mar 31, 2024 | 488.73 Mn |
| Dec 31, 2023 | 488.92 Mn |
| Sep 30, 2023 | 490.24 Mn |
| Jun 30, 2023 | 490.05 Mn |
| Mar 31, 2023 | 488.19 Mn |
| Dec 31, 2022 | 490.47 Mn |
| Sep 30, 2022 | 445.22 Mn |
| Jun 30, 2022 | 444.06 Mn |
| Mar 31, 2022 | 441.79 Mn |
| Dec 31, 2021 | 439.21 Mn |
| Sep 30, 2021 | 436.03 Mn |
Trade Desk Shares Outstanding (Entity) 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-entity&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "TTD", "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-entity&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();