Symbotic (SYM) Total Liabilities (2020 - 2026)
Symbotic's Total Liabilities came in at $2.39 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 72.3% from $1.39 billion a year earlier but down 3.1% from the prior quarter.
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Analysis
Symbotic (SYM) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic's Total Liabilities was $1.92 billion, up 61.4% from FY2024.
- Total Liabilities has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 54.7% (FY2021 to FY2025).
- Going back by fiscal year, Total Liabilities was $1.19 billion in FY2024 (+12.8%), $1.05 billion in FY2023 (+87.3%), $562.32 million in FY2022 and $335.25 million in FY2021.
- The five-year range for quarterly Total Liabilities is $539.7 million (fiscal Q2 2022) to $2.47 billion (fiscal Q2 2026).
- Year-over-year, Total Liabilities has increased for eight consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2023 (growth of 87.3%), and the weakest in fiscal Q4 2022 (a decline of 59.7%).
- Business Quant data shows SYM's Total Liabilities at $2.47 billion (Q2 2026), $2.03 billion (Q1 2026) and $1.92 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn | 2.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.39 Bn |
| Mar 28, 2026 | 2.47 Bn |
| Dec 27, 2025 | 2.03 Bn |
| Sep 27, 2025 | 1.92 Bn |
| Jun 28, 2025 | 1.39 Bn |
| Mar 29, 2025 | 1.54 Bn |
| Dec 28, 2024 | 1.32 Bn |
| Sep 28, 2024 | 1.19 Bn |
| Jun 29, 2024 | 1.15 Bn |
| Mar 30, 2024 | 1.16 Bn |
| Dec 30, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 24, 2023 | 948.11 Mn |
| Mar 25, 2023 | 888.09 Mn |
| Dec 24, 2022 | 758.64 Mn |
| Sep 24, 2022 | 562.32 Mn |
| Jun 25, 2022 | 539.70 Mn |
| Sep 25, 2021 | 1.39 Bn |
| Mar 31, 2021 | 331.75 Mn |
| Dec 31, 2020 | 126,750.00 |
API Access
Symbotic Total Liabilities 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=total-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();