Quantum-Si (QSI) Cash & Equivalents (2020 - 2026)
Quantum-Si's Cash & Equivalents was $23.65 million in Q2 2026, up 6.6% from $22.19 million a year earlier but down 34.7% from the prior quarter.
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Analysis
Quantum-Si (QSI) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Quantum-Si came in at $21.64 million, down 56.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $49.24 million in FY2024 (-63.2%), $133.86 million in FY2023 (+58.8%), $84.32 million in FY2022 (+135.6%) and $35.79 million in FY2021 (-3.0%).
- Quarterly Cash & Equivalents has moved between $21.64 million (Q4 2025) and $133.86 million (Q4 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 36.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2022 (growth of 135.6%); the worst was Q2 2022 (a decline of 84.4%).
- Per Business Quant data, QSI's Cash & Equivalents in the three quarters before Q2 2026 was $36.2 million (Q1 2026), $21.64 million (Q4 2025) and $30.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Quantum-Si | 278.52 Mn | -349.31 Mn | 172,000.00 | 23.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.65 Mn |
| Mar 31, 2026 | 36.20 Mn |
| Dec 31, 2025 | 21.64 Mn |
| Sep 30, 2025 | 30.91 Mn |
| Jun 30, 2025 | 22.19 Mn |
| Mar 31, 2025 | 37.29 Mn |
| Dec 31, 2024 | 49.24 Mn |
| Sep 30, 2024 | 42.27 Mn |
| Jun 30, 2024 | 59.55 Mn |
| Mar 31, 2024 | 53.16 Mn |
| Dec 31, 2023 | 133.86 Mn |
| Sep 30, 2023 | 93.82 Mn |
| Jun 30, 2023 | 87.93 Mn |
| Mar 31, 2023 | 81.66 Mn |
| Dec 31, 2022 | 84.32 Mn |
| Sep 30, 2022 | 78.26 Mn |
| Jun 30, 2022 | 81.27 Mn |
| Mar 31, 2022 | 34.98 Mn |
| Dec 31, 2021 | 35.79 Mn |
| Sep 30, 2021 | 62.10 Mn |
API Access
Quantum-Si Cash & Equivalents 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=cash-and-equivalents&ticker=QSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();