Symbotic (SYM) Shares Outstanding (Entity) (2021 - 2026)
Symbotic (SYM) reported Shares Outstanding (Entity) of 603.86 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 2.3% from 590.49 million a year earlier and up 0.2% from the prior quarter.
Symbotic (SYM) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025 (ended Sep 27, 2025), Symbotic posted Shares Outstanding (Entity) of 590.54 million, up 0.8% from FY2024.
- Shares Outstanding (Entity) has increased for three consecutive fiscal years, with a four-year compound annual growth rate of 105.6% (FY2021 to FY2025).
- By fiscal year, Shares Outstanding (Entity) came in at 585.96 million in FY2024 (+5.3%), 556.57 million in FY2023 (+929.0%), 54.09 million in FY2022 and 33.04 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q2 2021.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last eight quarters, with growth averaging 2.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.8% (fiscal Q4 2025) to 929.0% (fiscal Q4 2023).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 602.52 million (Q2 2026), 599.77 million (Q1 2026) and 590.54 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 557.80 Mn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 515.72 Mn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 284.80 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 384.94 Mn |
| 10 | Symbotic | 5.08 Bn | -1.74 Bn | 160.91 Mn | 603.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 603.86 Mn |
| Mar 28, 2026 | 602.52 Mn |
| Dec 27, 2025 | 599.77 Mn |
| Sep 27, 2025 | 590.54 Mn |
| Jun 28, 2025 | 590.49 Mn |
| Mar 29, 2025 | 588.91 Mn |
| Dec 28, 2024 | 587.42 Mn |
| Sep 28, 2024 | 585.96 Mn |
| Jun 29, 2024 | 584.90 Mn |
| Mar 30, 2024 | 583.96 Mn |
| Dec 30, 2023 | 573.11 Mn |
| Sep 30, 2023 | 556.57 Mn |
| Jun 24, 2023 | 555.46 Mn |
| Mar 25, 2023 | 555.30 Mn |
| Dec 24, 2022 | 553.91 Mn |
| Sep 24, 2022 | 54.09 Mn |
| Jun 25, 2022 | 50.66 Mn |
| Mar 31, 2021 | 30.73 Mn |
Symbotic 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=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();