Symbotic (SYM) Total Non-Current Liabilities (2021 - 2026)
Symbotic (SYM) posted Total Non-Current Liabilities of $2.33 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 75.7% from $1.33 billion a year earlier but down 3.1% from the prior quarter.
Symbotic (SYM) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic's Total Non-Current Liabilities came in at $1.85 billion, up 61.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive fiscal years, with a four-year compound annual growth rate of 7.5% (FY2021 to FY2025).
- In prior fiscal years, Symbotic's Total Non-Current Liabilities was $1.15 billion in FY2024 (+11.8%), $1.03 billion in FY2023 (+85.0%), $554.42 million in FY2022 (-60.1%) and $1.39 billion in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $533.72 million in fiscal Q2 2022 to a high of $2.41 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 41.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2023, with growth of 85.0%; the weakest was fiscal Q4 2022, with a decline of 60.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $2.41 billion (Q2 2026), $1.97 billion (Q1 2026) and $1.85 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn | 2.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.33 Bn |
| Mar 28, 2026 | 2.41 Bn |
| Dec 27, 2025 | 1.97 Bn |
| Sep 27, 2025 | 1.85 Bn |
| Jun 28, 2025 | 1.33 Bn |
| Mar 29, 2025 | 1.48 Bn |
| Dec 28, 2024 | 1.27 Bn |
| Sep 28, 2024 | 1.15 Bn |
| Jun 29, 2024 | 1.10 Bn |
| Mar 30, 2024 | 1.12 Bn |
| Dec 30, 2023 | 1.11 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jun 24, 2023 | 930.85 Mn |
| Mar 25, 2023 | 873.56 Mn |
| Dec 24, 2022 | 745.17 Mn |
| Sep 24, 2022 | 554.42 Mn |
| Jun 25, 2022 | 533.72 Mn |
| Sep 25, 2021 | 1.39 Bn |
Symbotic Total Non-Current 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-non-current-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();