Q (QCLS) Total Liabilities (2013 - 2026)
Q (QCLS) recorded Total Liabilities of $17.57 million in Q1 2026, up 74.2% from $10.09 million a year earlier but down 9.5% from the prior quarter.
Powered by 
Analysis
Q (QCLS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Q reported Total Liabilities of $19.41 million, up 66.9% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $11.63 million in FY2024 (+111.8%), $5.49 million in FY2023 (+93.1%), $2.84 million in FY2022 (+144.0%) and $1.17 million in FY2021 (-80.4%).
- Quarterly Total Liabilities has ranged from $1.17 million in Q4 2021 to $26.28 million in Q2 2024 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 78.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 493.3% in Q1 2023, against a decline of 94.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.41 million (Q4 2025), $22.91 million (Q3 2025) and $11.87 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 12.44 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.57 Mn |
| Dec 31, 2025 | 19.41 Mn |
| Sep 30, 2025 | 22.91 Mn |
| Jun 30, 2025 | 11.87 Mn |
| Mar 31, 2025 | 10.09 Mn |
| Dec 31, 2024 | 11.63 Mn |
| Sep 30, 2024 | 7.27 Mn |
| Jun 30, 2024 | 26.28 Mn |
| Mar 31, 2024 | 4.56 Mn |
| Dec 31, 2023 | 5.49 Mn |
| Sep 30, 2023 | 6.32 Mn |
| Jun 30, 2023 | 14.51 Mn |
| Mar 31, 2023 | 15.31 Mn |
| Dec 31, 2022 | 2.84 Mn |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 3.04 Mn |
| Mar 31, 2022 | 2.58 Mn |
| Dec 31, 2021 | 1.17 Mn |
| Sep 30, 2021 | 2.12 Mn |
| Jun 30, 2021 | 3.37 Mn |
API Access
Q Total 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-liabilities&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "QCLS", "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-liabilities&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();