Qualcomm (QCOM) Other Accumulated Expenses (2009 - 2026)
Qualcomm's Other Accumulated Expenses came in at $4.28 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 19.1% from $3.59 billion a year earlier but down 7.1% from the prior quarter.
Qualcomm (QCOM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Qualcomm's Other Accumulated Expenses was $4.16 billion, down 6.1% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $4.43 billion in FY2024 (-1.5%), $4.49 billion in FY2023 (+21.7%), $3.69 billion in FY2022 (-26.4%) and $5.01 billion in FY2021 (+16.5%).
- The five-year range for quarterly Other Accumulated Expenses is $3.41 billion (fiscal Q3 2022) to $5.23 billion (fiscal Q1 2026).
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q4 2023 (growth of 21.7%), and the weakest in fiscal Q4 2022 (a decline of 26.4%).
- Business Quant data shows QCOM's Other Accumulated Expenses at $4.6 billion (Q2 2026), $5.23 billion (Q1 2026) and $4.16 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Qualcomm | 195.41 Bn | 155.33 Bn | 5.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.28 Bn |
| Mar 29, 2026 | 4.60 Bn |
| Dec 28, 2025 | 5.23 Bn |
| Sep 28, 2025 | 4.16 Bn |
| Jun 29, 2025 | 3.59 Bn |
| Mar 30, 2025 | 4.22 Bn |
| Dec 29, 2024 | 4.37 Bn |
| Sep 29, 2024 | 4.43 Bn |
| Jun 23, 2024 | 3.75 Bn |
| Mar 24, 2024 | 4.41 Bn |
| Dec 24, 2023 | 3.81 Bn |
| Sep 24, 2023 | 4.49 Bn |
| Jun 25, 2023 | 3.71 Bn |
| Mar 26, 2023 | 3.79 Bn |
| Dec 25, 2022 | 3.68 Bn |
| Sep 25, 2022 | 3.69 Bn |
| Jun 26, 2022 | 3.41 Bn |
| Mar 27, 2022 | 4.57 Bn |
| Dec 26, 2021 | 4.66 Bn |
| Sep 26, 2021 | 5.01 Bn |
Qualcomm 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=QCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "QCOM", "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=QCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();