Symbotic (SYM) Accumulated Expenses (2020 - 2026)
Symbotic's Accumulated Expenses came in at $265.52 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 44.5% from $183.69 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Symbotic (SYM) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic's Accumulated Expenses was $200.44 million, up 21.0% from FY2024.
- Accumulated Expenses has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 179.3% (FY2021 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $165.64 million in FY2024 (+29.1%), $128.31 million in FY2023 (+171.2%), $47.31 million in FY2022 and $3.3 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q1 2021.
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 33.3% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 1.7% (fiscal Q1 2026) and 171.2% (fiscal Q4 2023) over the last five years.
- Business Quant data shows SYM's Accumulated Expenses at $251.48 million (Q2 2026), $206.87 million (Q1 2026) and $200.44 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 265.52 Mn |
| Mar 28, 2026 | 251.48 Mn |
| Dec 27, 2025 | 206.87 Mn |
| Sep 27, 2025 | 200.44 Mn |
| Jun 28, 2025 | 183.69 Mn |
| Mar 29, 2025 | 166.27 Mn |
| Dec 28, 2024 | 203.35 Mn |
| Sep 28, 2024 | 165.64 Mn |
| Jun 29, 2024 | 177.17 Mn |
| Mar 30, 2024 | 119.31 Mn |
| Dec 30, 2023 | 115.80 Mn |
| Sep 30, 2023 | 128.31 Mn |
| Jun 24, 2023 | 60.70 Mn |
| Mar 25, 2023 | 70.53 Mn |
| Dec 24, 2022 | 73.12 Mn |
| Sep 24, 2022 | 47.31 Mn |
| Jun 25, 2022 | 51.08 Mn |
| Sep 25, 2021 | 31.13 Mn |
| Mar 31, 2021 | 473,506.00 |
| Dec 31, 2020 | 100,000.00 |
API Access
Symbotic Accumulated 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=accumulated-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();