Q (QCLS) Total Current Liabilities (2013 - 2026)
Q's Total Current Liabilities came in at $3.69 million for Q1 2026, down 25.3% from $4.94 million a year earlier and down 33.3% from the prior quarter.
Analysis
Q (QCLS) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Q's Total Current Liabilities was $5.53 million, down 17.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $6.7 million in FY2024 (+34.3%), $4.99 million in FY2023 (+80.1%), $2.77 million in FY2022 (+166.3%) and $1.04 million in FY2021 (-55.7%).
- The Q1 2026 figure represents the lowest quarterly Total Current Liabilities since Q2 2023.
- Year-over-year, Total Current Liabilities has declined for four consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2023 (growth of 219.8%), and the weakest in Q4 2021 (a decline of 55.7%).
- Business Quant data shows QCLS's Total Current Liabilities at $5.53 million (Q4 2025), $6.53 million (Q3 2025) and $5.55 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 58.30 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 27.48 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 28.50 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 10.36 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 7.31 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.69 Mn |
| Dec 31, 2025 | 5.53 Mn |
| Sep 30, 2025 | 6.53 Mn |
| Jun 30, 2025 | 5.55 Mn |
| Mar 31, 2025 | 4.94 Mn |
| Dec 31, 2024 | 6.70 Mn |
| Sep 30, 2024 | 6.99 Mn |
| Jun 30, 2024 | 5.78 Mn |
| Mar 31, 2024 | 3.97 Mn |
| Dec 31, 2023 | 4.99 Mn |
| Sep 30, 2023 | 5.70 Mn |
| Jun 30, 2023 | 2.43 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 2.47 Mn |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 2.09 Mn |
| Jun 30, 2021 | 3.35 Mn |
API Access
Q 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=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();