Quantum-Si (QSI) Non-Current Assets (2020 - 2026)
Quantum-Si (QSI) recorded Non-Current Assets of $74.49 million in Q2 2026, up 166.7% from $27.93 million a year earlier but down 5.0% from the prior quarter.
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Analysis
Quantum-Si (QSI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Quantum-Si reported Non-Current Assets of $69.75 million, up 133.6% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 91.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $29.86 million in FY2024 (-6.5%), $31.94 million in FY2023 (-4.1%), $33.3 million in FY2022 (+27.8%) and $26.05 million in FY2021 (+853.0%).
- Quarterly Non-Current Assets has ranged from $4.32 million in Q3 2021 to $78.38 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 51.4% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 853.0% in Q4 2021, against a decline of 96.2% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $78.38 million (Q1 2026), $69.75 million (Q4 2025) and $22.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Quantum-Si | 290.15 Mn | -215.34 Mn | 74,000.00 | 60.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.52 Mn |
| Jun 30, 2026 | 74.49 Mn |
| Mar 31, 2026 | 78.38 Mn |
| Dec 31, 2025 | 69.75 Mn |
| Sep 30, 2025 | 22.14 Mn |
| Jun 30, 2025 | 27.93 Mn |
| Mar 31, 2025 | 29.42 Mn |
| Dec 31, 2024 | 29.86 Mn |
| Sep 30, 2024 | 30.63 Mn |
| Jun 30, 2024 | 30.28 Mn |
| Mar 31, 2024 | 31.21 Mn |
| Dec 31, 2023 | 31.94 Mn |
| Sep 30, 2023 | 33.29 Mn |
| Jun 30, 2023 | 34.37 Mn |
| Mar 31, 2023 | 35.01 Mn |
| Dec 31, 2022 | 33.30 Mn |
| Sep 30, 2022 | 39.11 Mn |
| Jun 30, 2022 | 38.15 Mn |
| Mar 31, 2022 | 36.36 Mn |
| Dec 31, 2021 | 26.05 Mn |
API Access
Quantum-Si Non-Current Assets 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=non-current-assets&ticker=QSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();