PROCEPT BioRobotics (PRCT) Non-Current Assets (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Non-Current Assets of $59.07 million for Q2 2026, up 7.4% from $54.99 million a year earlier and up 0.1% from the prior quarter.
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Analysis
PROCEPT BioRobotics (PRCT) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Non-Current Assets came in at $57.7 million, up 10.6% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Non-Current Assets was $52.18 million in FY2024 (-3.6%), $54.15 million in FY2023 (+47.5%), $36.7 million in FY2022 (+238.2%) and $10.85 million in FY2021 (-31.0%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Non-Current Assets has increased in each of the last five quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2022, with growth of 238.2%; the weakest was Q4 2021, with a decline of 31.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $59.03 million (Q1 2026), $57.7 million (Q4 2025) and $56.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 7.05 Bn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 59.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.07 Mn |
| Mar 31, 2026 | 59.03 Mn |
| Dec 31, 2025 | 57.70 Mn |
| Sep 30, 2025 | 56.79 Mn |
| Jun 30, 2025 | 54.99 Mn |
| Mar 31, 2025 | 53.58 Mn |
| Dec 31, 2024 | 52.18 Mn |
| Sep 30, 2024 | 51.16 Mn |
| Jun 30, 2024 | 52.46 Mn |
| Mar 31, 2024 | 53.71 Mn |
| Dec 31, 2023 | 54.15 Mn |
| Sep 30, 2023 | 52.46 Mn |
| Jun 30, 2023 | 42.43 Mn |
| Mar 31, 2023 | 38.88 Mn |
| Dec 31, 2022 | 36.70 Mn |
| Sep 30, 2022 | 35.11 Mn |
| Jun 30, 2022 | 12.59 Mn |
| Mar 31, 2022 | 12.93 Mn |
| Dec 31, 2021 | 10.85 Mn |
| Sep 30, 2021 | 11.99 Mn |
API Access
PROCEPT BioRobotics 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=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "PRCT", "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=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();