PROCEPT BioRobotics (PRCT) Interest Expenses (2020 - 2026)
PROCEPT BioRobotics' Interest Expenses was $842,000 in Q2 2026, down 5.9% from $895,000 a year earlier but up 2.9% from the prior quarter.
PROCEPT BioRobotics (PRCT) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, PROCEPT BioRobotics' Interest Expenses was $3.47 million through Jun 30, 2026, down 10.5% year-over-year; for FY2025, it was $3.59 million, down 14.3% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $4.18 million in FY2024 (+4.7%), $4 million in FY2023 (-22.9%), $5.18 million in FY2022 (-10.8%) and $5.81 million in FY2021 (+10.4%).
- Quarterly Interest Expenses has moved between $818,000 (Q1 2026) and $1.47 million (Q3 2021) over five years.
- Compared with a year earlier, Interest Expenses has declined for seven straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2023 (growth of 29.9%); the worst was Q4 2022 (a decline of 39.9%).
- Per Business Quant data, PRCT's Interest Expenses in the three quarters before Q2 2026 was $818,000 (Q1 2026), $894,000 (Q4 2025) and $919,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | - |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 842,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 842,000.00 |
| Mar 31, 2026 | 818,000.00 |
| Dec 31, 2025 | 894,000.00 |
| Sep 30, 2025 | 919,000.00 |
| Jun 30, 2025 | 895,000.00 |
| Mar 31, 2025 | 877,000.00 |
| Dec 31, 2024 | 969,000.00 |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 1.13 Mn |
| Sep 30, 2023 | 1.02 Mn |
| Jun 30, 2023 | 965,000.00 |
| Mar 31, 2023 | 886,000.00 |
| Dec 31, 2022 | 866,000.00 |
| Sep 30, 2022 | 1.46 Mn |
| Jun 30, 2022 | 1.44 Mn |
| Mar 31, 2022 | 1.42 Mn |
| Dec 31, 2021 | 1.44 Mn |
| Sep 30, 2021 | 1.47 Mn |
PROCEPT BioRobotics Interest Expenses 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=interest-expenses&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();