Q (QCLS) Total Non-Current Liabilities (2013 - 2026)
Q's Total Non-Current Liabilities was $10.91 million in Q1 2026, up 18.7% from $9.19 million a year earlier and unchanged from the prior quarter.
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Analysis
Q (QCLS) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
From Q4 2013 onward, Q has reported Total Non-Current Liabilities for 35 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $10.73 million in FY2024, $100,538 in FY2023 (+32.4%), $75,941 in FY2022 (-39.7%) and $125,893 in FY2021 (-96.5%).
- Quarterly Total Non-Current Liabilities has moved between $20,519 (Q3 2023) and $20.22 million (Q2 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 20.1% over the last five quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 440.7%); the worst was Q1 2024 (a decline of 97.8%).
- Per Business Quant data, QCLS's Total Non-Current Liabilities in the three quarters before Q1 2026 was $10.91 million (Q4 2025), $9.38 million (Q3 2025) and $10.97 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 15.60 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 11.04 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.91 Mn |
| Dec 31, 2025 | 10.91 Mn |
| Sep 30, 2025 | 9.38 Mn |
| Jun 30, 2025 | 10.97 Mn |
| Mar 31, 2025 | 9.19 Mn |
| Dec 31, 2024 | 10.73 Mn |
| Sep 30, 2024 | 6.37 Mn |
| Jun 30, 2024 | 20.22 Mn |
| Mar 31, 2024 | 279,615.00 |
| Dec 31, 2023 | 100,538.00 |
| Sep 30, 2023 | 20,519.00 |
| Jun 30, 2023 | 11.32 Mn |
| Mar 31, 2023 | 12.78 Mn |
| Dec 31, 2022 | 75,941.00 |
| Sep 30, 2022 | 123,126.00 |
| Jun 30, 2022 | 139,774.00 |
| Mar 31, 2022 | 114,601.00 |
| Dec 31, 2021 | 125,893.00 |
| Sep 30, 2021 | 25,978.00 |
| Jun 30, 2021 | 25,851.00 |
API Access
Q Total Non-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-non-current-liabilities&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();