PROCEPT BioRobotics (PRCT) Change in Inventory (2020 - 2026)
PROCEPT BioRobotics (PRCT) reported Change in Inventory of -$199,000 for Q2 2026, compared with $4.79 million a year earlier.
PROCEPT BioRobotics (PRCT) Change in Inventory (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PROCEPT BioRobotics' Change in Inventory came in at $10.26 million, down 57.3% year-over-year; for FY2025, it came in at $14.5 million, down 15.9% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- By year, Change in Inventory came in at $17.24 million in FY2024 (+76.8%), $9.75 million in FY2023 (-36.1%), $15.25 million in FY2022 (+149.0%) and $6.12 million in FY2021 (+97.2%).
- Five-year quarterly Change in Inventory spans a low of -$3.19 million in Q4 2023 and a high of $10.14 million in Q1 2023.
- Year over year, Change in Inventory gained in three of the last four quarters, with growth averaging 93.7%.
- The high point for year-over-year Change in Inventory in five years was Q3 2022 (growth of 976.7%); the low point was Q1 2024 (a decline of 85.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.03 million (Q1 2026), $4 million (Q4 2025) and -$568,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 23.50 Mn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | -199,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -199,000.00 |
| Mar 31, 2026 | 7.03 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | -568,000.00 |
| Jun 30, 2025 | 4.79 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 5.80 Mn |
| Sep 30, 2024 | 7.16 Mn |
| Jun 30, 2024 | 2.79 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | -3.19 Mn |
| Sep 30, 2023 | -485,000.00 |
| Jun 30, 2023 | 3.29 Mn |
| Mar 31, 2023 | 10.14 Mn |
| Dec 31, 2022 | 5.75 Mn |
| Sep 30, 2022 | 8.82 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | -517,000.00 |
| Dec 31, 2021 | 2.54 Mn |
| Sep 30, 2021 | 819,000.00 |
PROCEPT BioRobotics Change in Inventory 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=change-in-inventory&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();