Quantum-Si (QSI) Total Non-Current Liabilities (2020 - 2026)
Quantum-Si's Total Non-Current Liabilities was $13.36 million in Q2 2026, down 56.7% from $30.82 million a year earlier but up 9.4% from the prior quarter.
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Analysis
Quantum-Si (QSI) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Quantum-Si came in at $24.58 million, down 10.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -34.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $27.45 million in FY2024 (+8.4%), $25.33 million in FY2023 (-20.3%), $31.78 million in FY2022 (+67.7%) and $18.95 million in FY2021 (-90.5%).
- Quarterly Total Non-Current Liabilities has moved between $7.44 million (Q3 2021) and $31.78 million (Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for four straight quarters, with an average decline of 8.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 282.2%); the worst was Q4 2021 (a decline of 90.5%).
- Per Business Quant data, QSI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $12.2 million (Q1 2026), $24.58 million (Q4 2025) and $23.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Quantum-Si | 212.87 Mn | 212.87 Mn | 172,000.00 | 13.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.36 Mn |
| Mar 31, 2026 | 12.20 Mn |
| Dec 31, 2025 | 24.58 Mn |
| Sep 30, 2025 | 23.87 Mn |
| Jun 30, 2025 | 30.82 Mn |
| Mar 31, 2025 | 22.70 Mn |
| Dec 31, 2024 | 27.45 Mn |
| Sep 30, 2024 | 25.53 Mn |
| Jun 30, 2024 | 22.99 Mn |
| Mar 31, 2024 | 20.81 Mn |
| Dec 31, 2023 | 25.33 Mn |
| Sep 30, 2023 | 24.95 Mn |
| Jun 30, 2023 | 24.96 Mn |
| Mar 31, 2023 | 25.42 Mn |
| Dec 31, 2022 | 31.78 Mn |
| Sep 30, 2022 | 28.42 Mn |
| Jun 30, 2022 | 27.50 Mn |
| Mar 31, 2022 | 29.67 Mn |
| Dec 31, 2021 | 18.95 Mn |
| Sep 30, 2021 | 7.44 Mn |
API Access
Quantum-Si 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=QSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "QSI", "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=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();