Symbotic (SYM) Revenue (2021 - 2026)
Symbotic (SYM) recorded Revenue of $720.84 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 21.7% from $592.12 million a year earlier and up 6.6% from the prior quarter.
Symbotic (SYM) Revenue (2021 - 2026) Analysis & Trends
On a TTM basis, Symbotic's Revenue came in at $2.65 billion as of Jun 27, 2026, up 20.6% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $2.25 billion, up 25.7% from FY2024.
- Annual Revenue has increased for five straight fiscal years, with a five-year compound annual growth rate of 89.4% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $1.79 billion in FY2024 (+51.9%), $1.18 billion in FY2023 (+98.4%), $593.31 million in FY2022 (+135.5%) and $251.91 million in FY2021 (+173.6%).
- The fiscal Q3 2026 figure is the highest quarterly Revenue in data going back to fiscal Q3 2021.
- On a year-over-year basis, Revenue has increased for eight consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 9.5% (fiscal Q4 2025) to 74.5% (fiscal Q1 2024).
- Per Business Quant, the preceding three fiscal quarters came in at $676.48 million (Q2 2026), $629.99 million (Q1 2026) and $618.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Symbotic | 25.36 Bn | 18.97 Bn | 160.91 Mn | 720.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 720.84 Mn |
| Mar 28, 2026 | 676.48 Mn |
| Dec 27, 2025 | 629.99 Mn |
| Sep 27, 2025 | 618.46 Mn |
| Jun 28, 2025 | 592.12 Mn |
| Mar 29, 2025 | 549.65 Mn |
| Dec 28, 2024 | 486.69 Mn |
| Sep 28, 2024 | 564.57 Mn |
| Jun 29, 2024 | 470.34 Mn |
| Mar 30, 2024 | 393.33 Mn |
| Dec 30, 2023 | 359.94 Mn |
| Sep 30, 2023 | 391.89 Mn |
| Jun 24, 2023 | 311.84 Mn |
| Mar 25, 2023 | 266.85 Mn |
| Dec 24, 2022 | 206.31 Mn |
| Jun 25, 2022 | 175.55 Mn |
| Mar 26, 2022 | 96.28 Mn |
| Dec 25, 2021 | 77.06 Mn |
| Sep 25, 2021 | 91.71 Mn |
| Jun 26, 2021 | 131.49 Mn |
Symbotic Revenue 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=revenue&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();