DoorDash (DASH) Shares Outstanding (2019 - 2026)
DoorDash's Shares Outstanding came in at 434.43 million for Q2 2026, up 2.2% from 425.11 million a year earlier but down 0.2% from the prior quarter.
Analysis
DoorDash (DASH) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, DoorDash's Shares Outstanding was 427.04 million, up 3.8% from FY2024.
- Shares Outstanding has increased in each of the last six years, with a five-year compound annual growth rate of 46.9% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 411.55 million in FY2024 (+4.7%), 392.95 million in FY2023 (+5.8%), 371.41 million in FY2022 (+10.3%) and 336.85 million in FY2021 (+439.9%).
- The five-year range for quarterly Shares Outstanding is 336.85 million (Q4 2021) to 435.43 million (Q1 2026).
- Year-over-year, Shares Outstanding has increased for 23 consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 2.2% (Q2 2026) to 655.7% (Q3 2021).
- Business Quant data shows DASH's Shares Outstanding at 435.43 million (Q1 2026), 427.04 million (Q4 2025) and 428.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 768.00 Mn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 205.41 Mn |
| 10 | DoorDash | 85.13 Bn | 64.52 Bn | 2.35 Bn | 434.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 434.43 Mn |
| Mar 31, 2026 | 435.43 Mn |
| Dec 31, 2025 | 427.04 Mn |
| Sep 30, 2025 | 428.91 Mn |
| Jun 30, 2025 | 425.11 Mn |
| Mar 31, 2025 | 421.42 Mn |
| Dec 31, 2024 | 411.55 Mn |
| Sep 30, 2024 | 413.11 Mn |
| Jun 30, 2024 | 410.48 Mn |
| Mar 31, 2024 | 405.48 Mn |
| Dec 31, 2023 | 392.95 Mn |
| Sep 30, 2023 | 393.22 Mn |
| Jun 30, 2023 | 388.74 Mn |
| Mar 31, 2023 | 390.40 Mn |
| Dec 31, 2022 | 371.41 Mn |
| Sep 30, 2022 | 384.76 Mn |
| Jun 30, 2022 | 363.96 Mn |
| Mar 31, 2022 | 349.22 Mn |
| Dec 31, 2021 | 336.85 Mn |
| Sep 30, 2021 | 340.17 Mn |
API Access
DoorDash 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=DASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DASH", "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=DASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();