Maplebear (CART) Shares Outstanding (Diluted) (2022 - 2026)
Maplebear's Weighted Average Shares Outstanding (Diluted) came in at 248.94 million for Q3 2026, down 12.1% from 283.18 million a year earlier and unchanged from the prior quarter.
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Analysis
Maplebear (CART) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Maplebear's Weighted Average Shares Outstanding (Diluted) was 279.62 million, down 3.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a four-year compound annual growth rate of 43.5% (FY2021 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 289.16 million in FY2024 (+121.4%), 130.62 million in FY2023 (+28.7%), 101.48 million in FY2022 (+54.1%) and 65.87 million in FY2021.
- The five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 72.01 million (Q3 2022) to 302.13 million (Q1 2024).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for four consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2024 (growth of 318.6%), and the weakest in Q3 2026 (a decline of 12.1%).
- Business Quant data shows CART's Weighted Average Shares Outstanding (Diluted) at 248.94 million (Q2 2026), 253.6 million (Q1 2026) and 279.62 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 753.00 Mn |
| 10 | Maplebear | 13.55 Bn | 10.40 Bn | 786.00 Mn | 247.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 247.59 Mn |
| Jun 30, 2026 | 248.94 Mn |
| Mar 31, 2026 | 253.60 Mn |
| Dec 31, 2025 | 279.62 Mn |
| Sep 30, 2025 | 283.18 Mn |
| Jun 30, 2025 | 281.29 Mn |
| Mar 31, 2025 | 277.19 Mn |
| Dec 31, 2024 | 289.16 Mn |
| Sep 30, 2024 | 281.00 Mn |
| Jun 30, 2024 | 286.26 Mn |
| Mar 31, 2024 | 302.13 Mn |
| Dec 31, 2023 | 130.62 Mn |
| Sep 30, 2023 | 95.84 Mn |
| Jun 30, 2023 | 72.27 Mn |
| Mar 31, 2023 | 72.18 Mn |
| Dec 31, 2022 | 101.48 Mn |
| Sep 30, 2022 | 72.01 Mn |
API Access
Maplebear 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=CART&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CART", "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=CART&period=max&api_key=YOUR_API_KEY");
const data = await res.json();