Western Digital (WDC) Operating Expenses (2009 - 2026)
Western Digital (WDC) posted Operating Expenses of $465 million for fiscal Q4 2026 (quarter ended Jul 3, 2026), up 20.2% from $387 million a year earlier but down 4.3% from the prior quarter.
Western Digital (WDC) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 3, 2026), Western Digital's Operating Expenses came in at $1.86 billion, up 36.8% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -10.9% (FY2021 to FY2026).
- In prior fiscal years, Western Digital's Operating Expenses was $1.36 billion in FY2025 (-37.6%), $2.18 billion in FY2024 (+12.2%), $1.94 billion in FY2023 (-44.3%) and $3.48 billion in FY2022 (+5.5%).
- Quarterly Operating Expenses has run from a low of -$491 million in fiscal Q4 2023 to a high of $887 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2026, with growth of 219.7%; the weakest was fiscal Q3 2025, with a decline of 64.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $486 million (Q3 2026), $472 million (Q2 2026) and $435 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Hewlett Packard Enterprise | 92.09 Bn | 69.97 Bn | 4.93 Bn | 10.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 465.00 Mn |
| Apr 3, 2026 | 486.00 Mn |
| Jan 2, 2026 | 472.00 Mn |
| Oct 3, 2025 | 435.00 Mn |
| Jun 27, 2025 | 387.00 Mn |
| Mar 28, 2025 | 152.00 Mn |
| Dec 27, 2024 | 347.00 Mn |
| Sep 27, 2024 | 472.00 Mn |
| Jun 28, 2024 | 788.00 Mn |
| Mar 29, 2024 | 425.00 Mn |
| Dec 29, 2023 | 702.00 Mn |
| Sep 29, 2023 | 695.00 Mn |
| Jun 30, 2023 | -491.00 Mn |
| Mar 31, 2023 | 758.00 Mn |
| Dec 30, 2022 | 849.00 Mn |
| Sep 30, 2022 | 823.00 Mn |
| Jul 1, 2022 | 883.00 Mn |
| Apr 1, 2022 | 857.00 Mn |
| Dec 31, 2021 | 856.00 Mn |
| Oct 1, 2021 | 887.00 Mn |
Western Digital Operating 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=operating-expenses&ticker=WDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();