Symbotic (SYM) Other Accumulated Expenses (2021 - 2024)
Symbotic (SYM) posted Other Accumulated Expenses of $8.22 million for fiscal Q2 2024 (quarter ended Mar 30, 2024), down 68.1% from $25.72 million a year earlier and down 78.1% from the prior quarter.
Symbotic (SYM) Other Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2023 (ended Sep 30, 2023), Symbotic's Other Accumulated Expenses came in at $28.32 million, up 118.7% from FY2022.
- In prior fiscal years, Symbotic's Other Accumulated Expenses was $12.95 million in FY2022 (-29.6%) and $18.41 million in FY2021.
- The fiscal Q2 2024 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q2 2022.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last four quarters, with growth averaging 24.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn |
| 10 | Symbotic | 4.86 Bn | -1.96 Bn | 160.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2024 | 8.22 Mn |
| Dec 30, 2023 | 37.57 Mn |
| Sep 30, 2023 | 28.32 Mn |
| Jun 24, 2023 | 20.69 Mn |
| Mar 25, 2023 | 25.72 Mn |
| Dec 24, 2022 | 21.37 Mn |
| Sep 24, 2022 | 12.95 Mn |
| Jun 25, 2022 | 6.63 Mn |
| Sep 25, 2021 | 18.41 Mn |
Symbotic Other Accumulated 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=other-accumulated-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();