Quantum-Si (QSI) Total Liabilities (2020 - 2026)
Quantum-Si (QSI) posted Total Liabilities of $13.37 million for Q2 2026, down 60.0% from $33.42 million a year earlier but up 6.1% from the prior quarter.
Powered by 
Analysis
Quantum-Si (QSI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Quantum-Si's Total Liabilities came in at $25.38 million, down 21.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -33.8% (FY2020 to FY2025).
- In prior years, Quantum-Si's Total Liabilities was $32.45 million in FY2024 (+21.9%), $26.63 million in FY2023 (-18.8%), $32.78 million in FY2022 (+25.1%) and $26.19 million in FY2021 (-86.9%).
- Quarterly Total Liabilities has run from a low of $12.6 million in Q1 2026 to a high of $34.26 million in Q1 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 95.6%; the weakest was Q3 2021, with a decline of 94.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $12.6 million (Q1 2026), $25.38 million (Q4 2025) and $24.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Quantum-Si | 159.16 Mn | 159.16 Mn | 172,000.00 | 13.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.37 Mn |
| Mar 31, 2026 | 12.60 Mn |
| Dec 31, 2025 | 25.38 Mn |
| Sep 30, 2025 | 24.97 Mn |
| Jun 30, 2025 | 33.42 Mn |
| Mar 31, 2025 | 24.30 Mn |
| Dec 31, 2024 | 32.45 Mn |
| Sep 30, 2024 | 25.93 Mn |
| Jun 30, 2024 | 23.49 Mn |
| Mar 31, 2024 | 21.81 Mn |
| Dec 31, 2023 | 26.63 Mn |
| Sep 30, 2023 | 26.03 Mn |
| Jun 30, 2023 | 25.87 Mn |
| Mar 31, 2023 | 26.02 Mn |
| Dec 31, 2022 | 32.78 Mn |
| Sep 30, 2022 | 30.53 Mn |
| Jun 30, 2022 | 29.76 Mn |
| Mar 31, 2022 | 34.26 Mn |
| Dec 31, 2021 | 26.19 Mn |
| Sep 30, 2021 | 15.61 Mn |
API Access
Quantum-Si Total 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-liabilities&ticker=QSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();