Qualcomm (QCOM) Operating Expenses (2009 - 2026)
Qualcomm's Operating Expenses was $8.32 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 9.4% from $7.6 billion a year earlier and up 0.4% from the prior quarter.
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Analysis
Qualcomm (QCOM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Qualcomm's Operating Expenses was $33.85 billion through Jun 28, 2026, up 8.4% year-over-year; for FY2025 (ended Sep 28, 2025), it was $31.93 billion, up 10.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $28.89 billion in FY2024 (+3.1%), $28.03 billion in FY2023 (-1.1%), $28.34 billion in FY2022 (+19.2%) and $23.78 billion in FY2021 (+37.6%).
- Quarterly Operating Expenses has moved between $6.43 billion (fiscal Q4 2021) and $8.89 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 9.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 31.5%); the worst was fiscal Q4 2023 (a decline of 6.6%).
- Per Business Quant data, QCOM's Operating Expenses in the three fiscal quarters before Q3 2026 was $8.29 billion (Q2 2026), $8.89 billion (Q1 2026) and $8.35 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Qualcomm | 195.41 Bn | 155.33 Bn | 5.28 Bn | 8.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.32 Bn |
| Mar 29, 2026 | 8.29 Bn |
| Dec 28, 2025 | 8.89 Bn |
| Sep 28, 2025 | 8.35 Bn |
| Jun 29, 2025 | 7.60 Bn |
| Mar 30, 2025 | 7.86 Bn |
| Dec 29, 2024 | 8.11 Bn |
| Sep 29, 2024 | 7.66 Bn |
| Jun 23, 2024 | 7.17 Bn |
| Mar 24, 2024 | 7.05 Bn |
| Dec 24, 2023 | 7.01 Bn |
| Sep 24, 2023 | 7.22 Bn |
| Jun 25, 2023 | 6.63 Bn |
| Mar 26, 2023 | 7.19 Bn |
| Dec 25, 2022 | 7.00 Bn |
| Sep 25, 2022 | 7.73 Bn |
| Jun 26, 2022 | 6.46 Bn |
| Mar 27, 2022 | 7.31 Bn |
| Dec 26, 2021 | 6.84 Bn |
| Sep 26, 2021 | 6.43 Bn |
API Access
Qualcomm 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=QCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=QCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();