Symbotic (SYM) Operating Expenses (2021 - 2026)
Symbotic (SYM) posted Operating Expenses of $128.02 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 7.0% from $137.65 million a year earlier and down 11.0% from the prior quarter.
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Analysis
Symbotic (SYM) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Symbotic was $563.5 million, up 22.9% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $537.62 million, up 48.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- In prior fiscal years, Symbotic's Operating Expenses was $362.39 million in FY2024 (-12.2%), $412.97 million in FY2023 (+72.1%), $240.02 million in FY2022 and $6.39 million in FY2021.
- Quarterly Operating Expenses has run from a low of $39.34 million in fiscal Q4 2021 to a high of $164.72 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last seven quarters, with growth averaging 31.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 92.6%; the weakest was fiscal Q1 2024, with a decline of 14.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $143.86 million (Q2 2026), $126.9 million (Q1 2026) and $164.72 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Symbotic | 5.08 Bn | -1.74 Bn | 160.91 Mn | 128.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 128.02 Mn |
| Mar 28, 2026 | 143.86 Mn |
| Dec 27, 2025 | 126.90 Mn |
| Sep 27, 2025 | 164.72 Mn |
| Jun 28, 2025 | 137.65 Mn |
| Mar 29, 2025 | 131.27 Mn |
| Dec 28, 2024 | 103.98 Mn |
| Sep 28, 2024 | 85.53 Mn |
| Jun 29, 2024 | 92.59 Mn |
| Mar 30, 2024 | 95.11 Mn |
| Dec 30, 2023 | 89.16 Mn |
| Jun 24, 2023 | 94.92 Mn |
| Mar 25, 2023 | 100.56 Mn |
| Dec 24, 2022 | 104.76 Mn |
| Jun 25, 2022 | 64.58 Mn |
| Mar 26, 2022 | 46.87 Mn |
| Dec 25, 2021 | 37.54 Mn |
| Sep 25, 2021 | 39.34 Mn |
| Jun 26, 2021 | 37.44 Mn |
| Mar 31, 2021 | 508,266.00 |
API Access
Symbotic Operating Expenses 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=operating-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();