Symbotic (SYM) Change in Accured Expenses (2021 - 2026)
Symbotic (SYM) recorded Change in Accured Expenses of $13.62 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 8.7% from $12.53 million a year earlier but down 67.0% from the prior quarter.
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Analysis
Symbotic (SYM) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Symbotic's Change in Accured Expenses came in at $81.64 million as of Jun 27, 2026; for FY2025 (ended Sep 27, 2025), it was $10.36 million, down 73.1% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 74.3% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $38.47 million in FY2024 (-40.6%), $64.74 million in FY2023 (+70.8%), $37.9 million in FY2022 and $3.22 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$65.69 million in fiscal Q2 2025 to $50.48 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 10.6%.
- Per Business Quant, the preceding three fiscal quarters came in at $41.33 million (Q2 2026), $8.72 million (Q1 2026) and $17.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.43 Bn | 287.13 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 178.63 Bn | 173.21 Bn | 3.55 Bn | - |
| 3 | Deere | 170.80 Bn | 138.89 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 140.30 Bn | 137.48 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 110.21 Bn | 108.34 Bn | 2.25 Bn | - |
| 6 | 3M | 89.16 Bn | 70.60 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 88.65 Bn | 81.38 Bn | 2.66 Bn | 191.00 Mn |
| 8 | Illinois Tool Works | 78.87 Bn | 75.43 Bn | 1.90 Bn | 57.00 Mn |
| 9 | Vertiv Holdings | 73.67 Bn | 64.29 Bn | 1.23 Bn | 117.60 Mn |
| 10 | Symbotic | 5.06 Bn | -1.76 Bn | 160.91 Mn | 13.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 13.62 Mn |
| Mar 28, 2026 | 41.33 Mn |
| Dec 27, 2025 | 8.72 Mn |
| Sep 27, 2025 | 17.97 Mn |
| Jun 28, 2025 | 12.53 Mn |
| Mar 29, 2025 | -65.69 Mn |
| Dec 28, 2024 | 45.54 Mn |
| Sep 28, 2024 | -10.13 Mn |
| Jun 29, 2024 | 50.48 Mn |
| Mar 30, 2024 | -17.60 Mn |
| Dec 30, 2023 | 15.72 Mn |
| Mar 25, 2023 | 450,000.00 |
| Dec 24, 2022 | 34.13 Mn |
| Dec 25, 2021 | -9.05 Mn |
| Sep 25, 2021 | 9.91 Mn |
| Jun 26, 2021 | 14.92 Mn |
| Mar 31, 2021 | 399,939.00 |
API Access
Symbotic Change in Accured Expenses 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=change-in-accured-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();