Quantum Computing (QUBT) Total Current Liabilities (2021 - 2026)
Quantum Computing (QUBT) reported Total Current Liabilities of $18.6 million for Q2 2026, up 368.3% from $3.97 million a year earlier and up 23.4% from the prior quarter.
Quantum Computing (QUBT) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Quantum Computing posted Total Current Liabilities of $11.07 million, up 142.9% from FY2024.
- Total Current Liabilities has a four-year compound annual growth rate of 78.9% (FY2021 to FY2025).
- By year, Total Current Liabilities came in at $4.56 million in FY2024 (-5.3%), $4.81 million in FY2023 (+4.8%), $4.59 million in FY2022 (+324.4%) and $1.08 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2021.
- Year over year, Total Current Liabilities has now increased in each of the last six quarters, with growth averaging 105.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2026 (growth of 368.3%); the low point was Q1 2024 (a decline of 75.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.08 million (Q1 2026), $11.07 million (Q4 2025) and $3.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 2.96 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 642.37 Mn |
| 10 | Quantum Computing | 1.46 Bn | -2.15 Bn | -1.17 Mn | 18.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.60 Mn |
| Mar 31, 2026 | 15.08 Mn |
| Dec 31, 2025 | 11.07 Mn |
| Sep 30, 2025 | 3.63 Mn |
| Jun 30, 2025 | 3.97 Mn |
| Mar 31, 2025 | 3.74 Mn |
| Dec 31, 2024 | 4.56 Mn |
| Sep 30, 2024 | 2.43 Mn |
| Jun 30, 2024 | 2.89 Mn |
| Mar 31, 2024 | 3.08 Mn |
| Dec 31, 2023 | 4.81 Mn |
| Sep 30, 2023 | 8.09 Mn |
| Jun 30, 2023 | 11.74 Mn |
| Mar 31, 2023 | 12.57 Mn |
| Dec 31, 2022 | 4.59 Mn |
| Dec 31, 2021 | 1.08 Mn |
Quantum Computing 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=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "QUBT", "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=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();