Symbotic (SYM) Cash & Equivalents (2021 - 2026)
Symbotic (SYM) recorded Cash & Equivalents of $1.75 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 124.6% from $777.58 million a year earlier but down 13.1% from the prior quarter.
Symbotic (SYM) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Symbotic reported Cash & Equivalents of $1.24 billion, up 71.2% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of 525.6% (FY2021 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $727.31 million in FY2024 (+181.1%), $258.77 million in FY2023 (-26.8%), $353.46 million in FY2022 and $812,884 in FY2021.
- Quarterly Cash & Equivalents has ranged from $156.63 million in fiscal Q4 2021 to $2.01 billion in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 83.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 250.8% in fiscal Q2 2024, against a decline of 26.8% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.01 billion (Q2 2026), $1.82 billion (Q1 2026) and $1.24 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 4.84 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 839.00 Mn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 2.81 Bn |
| 10 | Symbotic | 23.72 Bn | 17.32 Bn | 160.91 Mn | 1.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.75 Bn |
| Mar 28, 2026 | 2.01 Bn |
| Dec 27, 2025 | 1.82 Bn |
| Sep 27, 2025 | 1.24 Bn |
| Jun 28, 2025 | 777.58 Mn |
| Mar 29, 2025 | 954.94 Mn |
| Dec 28, 2024 | 903.03 Mn |
| Sep 28, 2024 | 727.31 Mn |
| Jun 29, 2024 | 870.47 Mn |
| Mar 30, 2024 | 901.38 Mn |
| Dec 30, 2023 | 485.95 Mn |
| Sep 30, 2023 | 258.77 Mn |
| Jun 24, 2023 | 255.49 Mn |
| Mar 25, 2023 | 256.95 Mn |
| Dec 24, 2022 | 350.72 Mn |
| Sep 24, 2022 | 353.46 Mn |
| Jun 25, 2022 | 411.66 Mn |
| Mar 26, 2022 | 259.04 Mn |
| Sep 25, 2021 | 156.63 Mn |
| Mar 31, 2021 | 1.99 Mn |
Symbotic Cash & Equivalents 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=cash-and-equivalents&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();