NeuroPace (NPCE) Interest Expenses (2020 - 2026)
NeuroPace (NPCE) posted Interest Expenses of $1.54 million for Q2 2026, down 25.3% from $2.06 million a year earlier but up 1.2% from the prior quarter.
NeuroPace (NPCE) Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at NeuroPace was $6.31 million, down 26.6% year-over-year; for FY2025, it came in at $7.46 million, down 15.2% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In prior years, NeuroPace's Interest Expenses was $8.8 million in FY2024 (+3.3%), $8.52 million in FY2023 (+13.1%), $7.53 million in FY2022 (+1.6%) and $7.41 million in FY2021 (-35.5%).
- Quarterly Interest Expenses has run from a low of $1.52 million in Q1 2026 to a high of $2.26 million in Q1 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last eight quarters, with an average decline of 14.8% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2023, with growth of 15.2%; the weakest was Q3 2021, with a decline of 34.6%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $1.52 million (Q1 2026), $1.6 million (Q4 2025) and $1.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 132.00 Mn |
| 10 | NeuroPace | 477.90 Mn | 251.15 Mn | 18.91 Mn | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.54 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | 1.60 Mn |
| Sep 30, 2025 | 1.65 Mn |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 2.15 Mn |
| Dec 31, 2024 | 2.19 Mn |
| Sep 30, 2024 | 2.18 Mn |
| Jun 30, 2024 | 2.17 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 2.24 Mn |
| Sep 30, 2023 | 2.19 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Mar 31, 2023 | 1.97 Mn |
| Dec 31, 2022 | 1.94 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 1.85 Mn |
| Mar 31, 2022 | 1.83 Mn |
| Dec 31, 2021 | 1.86 Mn |
| Sep 30, 2021 | 1.83 Mn |
NeuroPace 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=NPCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "NPCE", "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=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();