Quantum-Si (QSI) Research & Development (2020 - 2026)
Quantum-Si (QSI) posted Research & Development of $15.82 million for Q2 2026, up 4.0% from $15.21 million a year earlier and up 9.2% from the prior quarter.
Quantum-Si (QSI) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Quantum-Si was $55.14 million, down 11.2% year-over-year; for FY2025, it was $53.76 million, down 9.9% from FY2024.
- Annual Research & Development has declined for three consecutive years, though with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In prior years, Quantum-Si's Research & Development was $59.64 million in FY2024 (-11.0%), $67.03 million in FY2023 (-7.0%), $72.06 million in FY2022 (+54.7%) and $46.58 million in FY2021 (+69.0%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in five of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2022, with growth of 135.5%; the weakest was Q4 2025, with a decline of 35.6%.
- According to Business Quant data, Research & Development for the three prior quarters was $14.49 million (Q1 2026), $10.95 million (Q4 2025) and $13.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Quantum-Si | 159.16 Mn | 159.16 Mn | 172,000.00 | 15.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.82 Mn |
| Mar 31, 2026 | 14.49 Mn |
| Dec 31, 2025 | 10.95 Mn |
| Sep 30, 2025 | 13.88 Mn |
| Jun 30, 2025 | 15.21 Mn |
| Mar 31, 2025 | 13.72 Mn |
| Dec 31, 2024 | 16.99 Mn |
| Sep 30, 2024 | 16.17 Mn |
| Jun 30, 2024 | 14.38 Mn |
| Mar 31, 2024 | 12.10 Mn |
| Dec 31, 2023 | 16.44 Mn |
| Sep 30, 2023 | 16.59 Mn |
| Jun 30, 2023 | 15.83 Mn |
| Mar 31, 2023 | 18.17 Mn |
| Dec 31, 2022 | 18.16 Mn |
| Sep 30, 2022 | 16.68 Mn |
| Jun 30, 2022 | 18.46 Mn |
| Mar 31, 2022 | 18.77 Mn |
| Dec 31, 2021 | 14.39 Mn |
| Sep 30, 2021 | 11.10 Mn |
Quantum-Si Research & Development 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=research-and-development&ticker=QSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();