Symbotic (SYM) Other Non-Current Assets (2020 - 2026)
Symbotic's Other Non-Current Assets came in at $224.17 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 183.1% from $79.18 million a year earlier and up 55.7% from the prior quarter.
Symbotic (SYM) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic's Other Non-Current Assets was $131.17 million, up 220.3% from FY2024.
- Other Non-Current Assets carries a four-year compound annual growth rate of 455.1% (FY2021 to FY2025).
- Going back by fiscal year, Other Non-Current Assets was $40.95 million in FY2024 (+69.3%), $24.19 million in FY2023, $337,000 in FY2022 and $138,105 in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to fiscal Q1 2021.
- Year-over-year, Other Non-Current Assets has increased for four consecutive quarters, with growth averaging 117.7% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q1 2024 (growth of 389.0%), and the weakest in fiscal Q3 2025 (a decline of 25.4%).
- Business Quant data shows SYM's Other Non-Current Assets at $143.98 million (Q2 2026), $141.39 million (Q1 2026) and $131.17 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 6.70 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 1.26 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 3.46 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 2.53 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 1.67 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 6.45 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 2.88 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 1.54 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 123.90 Mn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn | 224.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 224.17 Mn |
| Mar 28, 2026 | 143.98 Mn |
| Dec 27, 2025 | 141.39 Mn |
| Sep 27, 2025 | 131.17 Mn |
| Jun 28, 2025 | 79.18 Mn |
| Mar 29, 2025 | 62.71 Mn |
| Dec 28, 2024 | 51.22 Mn |
| Sep 28, 2024 | 40.95 Mn |
| Jun 29, 2024 | 106.10 Mn |
| Mar 30, 2024 | 29.07 Mn |
| Dec 30, 2023 | 29.61 Mn |
| Sep 30, 2023 | 24.19 Mn |
| Jun 24, 2023 | 6.83 Mn |
| Mar 25, 2023 | 7.16 Mn |
| Dec 24, 2022 | 6.06 Mn |
| Sep 24, 2022 | 337,000.00 |
| Jun 25, 2022 | 340,000.00 |
| Sep 25, 2021 | 334,000.00 |
| Dec 31, 2020 | 126,750.00 |
Symbotic Other Non-Current Assets 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=other-non-current-assets&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();