PROCEPT BioRobotics (PRCT) Cash & Equivalents (2020 - 2026)
PROCEPT BioRobotics' Cash & Equivalents came in at $218.37 million for Q3 2026, down 25.8% from $294.28 million a year earlier and down 4.2% from the prior quarter.
PROCEPT BioRobotics (PRCT) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Cash & Equivalents was $286.5 million, down 14.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $333.73 million in FY2024 (+29.7%), $257.22 million in FY2023 (+15.9%), $221.86 million in FY2022 (-27.1%) and $304.32 million in FY2021 (+203.9%).
- The Q3 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2024.
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2022 (growth of 230.1%), and the weakest in Q2 2023 (a decline of 44.5%).
- Business Quant data shows PRCT's Cash & Equivalents at $227.91 million (Q2 2026), $245.64 million (Q1 2026) and $286.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 2.32 Bn |
| 10 | PROCEPT BioRobotics | 1.37 Bn | 388.62 Mn | 65.15 Mn | 218.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 218.37 Mn |
| Jun 30, 2026 | 227.91 Mn |
| Mar 31, 2026 | 245.64 Mn |
| Dec 31, 2025 | 286.50 Mn |
| Sep 30, 2025 | 294.28 Mn |
| Jun 30, 2025 | 302.72 Mn |
| Mar 31, 2025 | 316.21 Mn |
| Dec 31, 2024 | 333.73 Mn |
| Sep 30, 2024 | 196.76 Mn |
| Jun 30, 2024 | 214.09 Mn |
| Mar 31, 2024 | 225.58 Mn |
| Dec 31, 2023 | 257.22 Mn |
| Sep 30, 2023 | 287.09 Mn |
| Jun 30, 2023 | 149.69 Mn |
| Mar 31, 2023 | 180.97 Mn |
| Dec 31, 2022 | 221.86 Mn |
| Sep 30, 2022 | 249.22 Mn |
| Jun 30, 2022 | 269.81 Mn |
| Mar 31, 2022 | 284.29 Mn |
| Dec 31, 2021 | 304.32 Mn |
PROCEPT BioRobotics 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=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();