Symbotic (SYM) EPS (Diluted) (2022 - 2026)
Symbotic's EPS (Diluted) came in at $0.09 for fiscal Q3 2026 (quarter ended Jun 27, 2026), compared with -$0.04 a year earlier and up 497.8% from the prior quarter.
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Analysis
Symbotic (SYM) EPS (Diluted) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Symbotic reported EPS (Diluted) of $0.06; for FY2025 (ended Sep 27, 2025), it was -$0.16.
- Going back by fiscal year, EPS (Diluted) was -$0.14 in FY2024, -$0.37 in FY2023 and -$0.13 in FY2022.
- The fiscal Q3 2026 figure represents the highest quarterly EPS (Diluted) in data going back to fiscal Q2 2022.
- Business Quant data shows SYM's EPS (Diluted) at $0.01 (Q2 2026), $0.02 (Q1 2026) and -$0.07 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 8.52 |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.28 |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 1.79 |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 2.84 |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 1.27 |
| 10 | Symbotic | 5.08 Bn | -1.74 Bn | 160.91 Mn | 0.09 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.09 |
| Mar 28, 2026 | 0.01 |
| Dec 27, 2025 | 0.02 |
| Sep 27, 2025 | -0.07 |
| Jun 28, 2025 | -0.04 |
| Mar 29, 2025 | -0.02 |
| Dec 28, 2024 | -0.03 |
| Sep 28, 2024 | 0.03 |
| Jun 29, 2024 | -0.05 |
| Mar 30, 2024 | -0.09 |
| Dec 30, 2023 | -0.03 |
| Sep 30, 2023 | -0.10 |
| Jun 24, 2023 | -0.07 |
| Mar 25, 2023 | -0.10 |
| Dec 24, 2022 | -0.12 |
| Sep 24, 2022 | -0.13 |
| Jun 25, 2022 | -0.03 |
API Access
Symbotic EPS (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=eps-diluted&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();