Quantum-Si (QSI) Total Non-Current Liabilities (2020 - 2026)
Quantum-Si's Total Non-Current Liabilities was $13.36 million in Q2 2026, down 56.6% from $30.78 million a year earlier but up 9.7% 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 $24.55 million, down 10.6% 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%), $25.32 million in FY2023 (-20.3%), $31.78 million in FY2022 (+69.5%) and $18.75 million in FY2021 (-90.6%).
- Quarterly Total Non-Current Liabilities has moved between $7.2 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 294.9%); the worst was Q4 2021 (a decline of 90.6%).
- Per Business Quant data, QSI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $12.18 million (Q1 2026), $24.55 million (Q4 2025) and $23.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Quantum-Si | 290.15 Mn | -215.34 Mn | 74,000.00 | 12.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.59 Mn |
| Jun 30, 2026 | 13.36 Mn |
| Mar 31, 2026 | 12.18 Mn |
| Dec 31, 2025 | 24.55 Mn |
| Sep 30, 2025 | 23.83 Mn |
| Jun 30, 2025 | 30.78 Mn |
| Mar 31, 2025 | 22.68 Mn |
| Dec 31, 2024 | 27.45 Mn |
| Sep 30, 2024 | 25.51 Mn |
| Jun 30, 2024 | 22.98 Mn |
| Mar 31, 2024 | 20.80 Mn |
| Dec 31, 2023 | 25.32 Mn |
| Sep 30, 2023 | 24.94 Mn |
| Jun 30, 2023 | 24.93 Mn |
| Mar 31, 2023 | 25.39 Mn |
| Dec 31, 2022 | 31.78 Mn |
| Sep 30, 2022 | 28.42 Mn |
| Jun 30, 2022 | 27.50 Mn |
| Mar 31, 2022 | 29.43 Mn |
| Dec 31, 2021 | 18.75 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();