Symbotic (SYM) Shares Outstanding (Diluted) (2022 - 2026)
Symbotic (SYM) posted Shares Outstanding (Diluted) of 133.25 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 22.0% from 109.2 million a year earlier but down 0.8% from the prior quarter.
Symbotic (SYM) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025 (ended Sep 27, 2025), Symbotic's Shares Outstanding (Diluted) came in at 108.67 million, up 13.6% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 26.2% (FY2022 to FY2025).
- In prior fiscal years, Symbotic's Shares Outstanding (Diluted) was 95.7 million in FY2024 (+48.7%), 64.34 million in FY2023 (+19.0%) and 54.09 million in FY2022.
- Quarterly Shares Outstanding (Diluted) has run from a low of 50.66 million in fiscal Q2 2022 to a high of 134.36 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last eight quarters, with growth averaging 22.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 6.6% in fiscal Q3 2025 to 53.8% in fiscal Q2 2024.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 134.36 million (Q2 2026), 127.87 million (Q1 2026) and 108.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Symbotic | 25.40 Bn | 19.01 Bn | 160.91 Mn | 133.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 133.25 Mn |
| Mar 28, 2026 | 134.36 Mn |
| Dec 27, 2025 | 127.87 Mn |
| Sep 27, 2025 | 108.67 Mn |
| Jun 28, 2025 | 109.20 Mn |
| Mar 29, 2025 | 107.73 Mn |
| Dec 28, 2024 | 106.10 Mn |
| Sep 28, 2024 | 95.70 Mn |
| Jun 29, 2024 | 102.41 Mn |
| Mar 30, 2024 | 93.04 Mn |
| Dec 30, 2023 | 83.32 Mn |
| Sep 30, 2023 | 64.34 Mn |
| Jun 24, 2023 | 61.78 Mn |
| Mar 25, 2023 | 60.50 Mn |
| Dec 24, 2022 | 58.24 Mn |
| Sep 24, 2022 | 54.09 Mn |
| Jun 25, 2022 | 50.66 Mn |
Symbotic 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=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SYM", "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=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();