Symbotic (SYM) Total Current Liabilities (2020 - 2026)
Symbotic (SYM) reported Total Current Liabilities of $2.15 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 63.0% from $1.32 billion a year earlier and up 6.2% from the prior quarter.
Symbotic (SYM) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic posted Total Current Liabilities of $1.73 billion, up 70.0% from FY2024.
- Total Current Liabilities has a four-year compound annual growth rate of 354.6% (FY2021 to FY2025).
- By fiscal year, Total Current Liabilities came in at $1.02 billion in FY2024 (-0.8%), $1.03 billion in FY2023 (+96.1%), $522.96 million in FY2022 and $4.05 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q1 2021.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 36.7% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q4 2023 (growth of 96.1%); the low point was fiscal Q4 2024 (a decline of 0.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.02 billion (Q2 2026), $1.78 billion (Q1 2026) and $1.73 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.15 Bn |
| Mar 28, 2026 | 2.02 Bn |
| Dec 27, 2025 | 1.78 Bn |
| Sep 27, 2025 | 1.73 Bn |
| Jun 28, 2025 | 1.32 Bn |
| Mar 29, 2025 | 1.47 Bn |
| Dec 28, 2024 | 1.20 Bn |
| Sep 28, 2024 | 1.02 Bn |
| Jun 29, 2024 | 1.02 Bn |
| Mar 30, 2024 | 1.08 Bn |
| Dec 30, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jun 24, 2023 | 898.01 Mn |
| Mar 25, 2023 | 849.83 Mn |
| Dec 24, 2022 | 735.83 Mn |
| Sep 24, 2022 | 522.96 Mn |
| Jun 25, 2022 | 445.11 Mn |
| Sep 25, 2021 | 336.97 Mn |
| Mar 31, 2021 | 549,240.00 |
| Dec 31, 2020 | 126,750.00 |
Symbotic Total 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-current-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();