Quantum-Si (QSI) Property, Plant & Equipment (Net) (2020 - 2026)
Quantum-Si's Property, Plant & Equipment (Net) was $10.91 million in Q2 2026, down 28.9% from $15.34 million a year earlier and down 9.4% from the prior quarter.
Quantum-Si (QSI) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Quantum-Si came in at $13.19 million, down 17.5% from FY2024.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, though with a five-year compound annual growth rate of 45.9% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $15.99 million in FY2024 (-1.7%), $16.28 million in FY2023 (-3.4%), $16.85 million in FY2022 (+89.1%) and $8.91 million in FY2021 (+346.3%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2021.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for five straight quarters, with an average decline of 13.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 346.3%); the worst was Q2 2026 (a decline of 28.9%).
- Per Business Quant data, QSI's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $12.03 million (Q1 2026), $13.19 million (Q4 2025) and $13.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Quantum-Si | 308.37 Mn | 308.37 Mn | 172,000.00 | 10.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.91 Mn |
| Mar 31, 2026 | 12.03 Mn |
| Dec 31, 2025 | 13.19 Mn |
| Sep 30, 2025 | 13.37 Mn |
| Jun 30, 2025 | 15.34 Mn |
| Mar 31, 2025 | 16.18 Mn |
| Dec 31, 2024 | 15.99 Mn |
| Sep 30, 2024 | 16.25 Mn |
| Jun 30, 2024 | 16.21 Mn |
| Mar 31, 2024 | 16.17 Mn |
| Dec 31, 2023 | 16.28 Mn |
| Sep 30, 2023 | 17.61 Mn |
| Jun 30, 2023 | 18.10 Mn |
| Mar 31, 2023 | 18.20 Mn |
| Dec 31, 2022 | 16.85 Mn |
| Sep 30, 2022 | 13.76 Mn |
| Jun 30, 2022 | 12.56 Mn |
| Mar 31, 2022 | 11.15 Mn |
| Dec 31, 2021 | 8.91 Mn |
| Sep 30, 2021 | 4.21 Mn |
Quantum-Si Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=QSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=QSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();