Trade Desk (TTD) Shares Outstanding (2015 - 2026)
Trade Desk (TTD) recorded Shares Outstanding of 468.36 million in Q2 2026, down 4.5% from 490.63 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Trade Desk (TTD) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Trade Desk reported Shares Outstanding of 488.28 million, down 0.5% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 490.88 million in FY2024 (+0.3%), 489.26 million in FY2023 (+0.5%), 486.94 million in FY2022 (+2.1%) and 476.85 million in FY2021 (+3.0%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding since Q4 2020.
- On a year-over-year basis, Shares Outstanding has declined for four consecutive quarters, with an average decline of 1.0% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 3.0% in Q4 2021, against a decline of 4.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 474.66 million (Q1 2026), 488.28 million (Q4 2025) and 487.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 2.54 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.32 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 | - | 768.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 205.41 Mn |
| 10 | Trade Desk | 5.72 Bn | 75.78 Mn | 530.72 Mn | 468.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 468.36 Mn |
| Mar 31, 2026 | 474.66 Mn |
| Dec 31, 2025 | 488.28 Mn |
| Sep 30, 2025 | 487.73 Mn |
| Jun 30, 2025 | 490.63 Mn |
| Mar 31, 2025 | 494.93 Mn |
| Dec 31, 2024 | 490.88 Mn |
| Sep 30, 2024 | 491.61 Mn |
| Jun 30, 2024 | 489.35 Mn |
| Mar 31, 2024 | 488.55 Mn |
| Dec 31, 2023 | 489.26 Mn |
| Sep 30, 2023 | 489.45 Mn |
| Jun 30, 2023 | 488.43 Mn |
| Mar 31, 2023 | 489.71 Mn |
| Dec 31, 2022 | 486.94 Mn |
| Sep 30, 2022 | 487.96 Mn |
| Jun 30, 2022 | 486.31 Mn |
| Mar 31, 2022 | 484.19 Mn |
| Dec 31, 2021 | 476.85 Mn |
| Sep 30, 2021 | 478.10 Mn |
API Access
Trade Desk 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=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();