Western Digital (WDC) Other Accumulated Expenses (2012 - 2023)
Western Digital (WDC) posted Other Accumulated Expenses of $265 million for fiscal Q3 2023 (quarter ended Mar 31, 2023), down 33.1% from $396 million a year earlier and down 28.0% from the prior quarter.
Western Digital (WDC) Other Accumulated Expenses (2012 - 2023) Analysis & Trends
At the end of FY2022 (ended Jul 1, 2022), Western Digital's Other Accumulated Expenses came in at $320 million, down 19.6% from FY2021.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 9.2% (FY2017 to FY2022).
- In prior fiscal years, Western Digital's Other Accumulated Expenses was $398 million in FY2021 (-2.2%), $407 million in FY2020 (+23.0%), $331 million in FY2019 (+27.8%) and $259 million in FY2018 (+25.7%).
- The fiscal Q3 2023 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q4 2018.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last eight quarters, with an average decline of 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q1 2020, with growth of 77.3%; the weakest was fiscal Q3 2023, with a decline of 33.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $368 million (Q2 2023), $295 million (Q1 2023) and $320 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Hewlett Packard Enterprise | 92.09 Bn | 69.97 Bn | 4.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 265.00 Mn |
| Dec 30, 2022 | 368.00 Mn |
| Sep 30, 2022 | 295.00 Mn |
| Jul 1, 2022 | 320.00 Mn |
| Apr 1, 2022 | 396.00 Mn |
| Dec 31, 2021 | 389.00 Mn |
| Oct 1, 2021 | 378.00 Mn |
| Jul 2, 2021 | 398.00 Mn |
| Apr 2, 2021 | 397.00 Mn |
| Jan 1, 2021 | 393.00 Mn |
| Oct 2, 2020 | 404.00 Mn |
| Jul 3, 2020 | 407.00 Mn |
| Apr 3, 2020 | 397.00 Mn |
| Jan 3, 2020 | 364.00 Mn |
| Oct 4, 2019 | 507.00 Mn |
| Jun 28, 2019 | 331.00 Mn |
| Mar 29, 2019 | 312.00 Mn |
| Dec 28, 2018 | 310.00 Mn |
| Sep 28, 2018 | 286.00 Mn |
| Jun 29, 2018 | 259.00 Mn |
Western Digital 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=WDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "WDC", "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=WDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();