Qualcomm (QCOM) Total Current Liabilities (2009 - 2026)
Qualcomm (QCOM) posted Total Current Liabilities of $11.98 billion for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 31.0% from $9.14 billion a year earlier and up 5.0% from the prior quarter.
Qualcomm (QCOM) Total Current Liabilities (2009 - 2026) Analysis & Trends
Since fiscal Q2 2009, Qualcomm has reported Total Current Liabilities for 71 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- In prior fiscal years, Qualcomm's Total Current Liabilities was $9.14 billion in FY2025 (-12.9%), $10.5 billion in FY2024 (+9.1%), $9.63 billion in FY2023 (-18.9%) and $11.87 billion in FY2022 (-0.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Current Liabilities since fiscal Q2 2022.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with growth averaging 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q2 2022, with growth of 48.1%; the weakest was fiscal Q2 2023, with a decline of 41.4%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $11.41 billion (Q3 2026), $9.77 billion (Q2 2026) and $9.82 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Qualcomm | 184.89 Bn | 147.28 Bn | 5.24 Bn | 11.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 11.98 Bn |
| Jun 28, 2026 | 11.41 Bn |
| Mar 29, 2026 | 9.77 Bn |
| Dec 28, 2025 | 9.82 Bn |
| Sep 28, 2025 | 9.14 Bn |
| Jun 29, 2025 | 7.80 Bn |
| Mar 30, 2025 | 9.54 Bn |
| Dec 29, 2024 | 9.95 Bn |
| Sep 29, 2024 | 10.50 Bn |
| Jun 23, 2024 | 9.75 Bn |
| Mar 24, 2024 | 9.14 Bn |
| Dec 24, 2023 | 9.17 Bn |
| Sep 24, 2023 | 9.63 Bn |
| Jun 25, 2023 | 8.46 Bn |
| Mar 26, 2023 | 7.87 Bn |
| Dec 25, 2022 | 10.08 Bn |
| Sep 25, 2022 | 11.87 Bn |
| Jun 26, 2022 | 11.83 Bn |
| Mar 27, 2022 | 13.43 Bn |
| Dec 26, 2021 | 12.27 Bn |
Qualcomm Total Current Liabilities 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=total-current-liabilities&ticker=QCOM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=QCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();