NeuroPace (NPCE) Non-Current Debt (2020 - 2026)
NeuroPace's Non-Current Debt came in at $59.01 million for Q2 2026, up 0.7% from $58.62 million a year earlier and unchanged from the prior quarter.
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Analysis
NeuroPace (NPCE) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, NeuroPace's Non-Current Debt was $58.88 million, down 1.1% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $59.53 million in FY2024 (+4.5%), $56.95 million in FY2023 (+7.6%), $52.91 million in FY2022 (+6.2%) and $49.85 million in FY2021 (-1.9%).
- The five-year range for quarterly Non-Current Debt is $49.58 million (Q3 2021) to $59.79 million (Q1 2025).
- Year-over-year, Non-Current Debt increased in four of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Non-Current Debt over five years came in Q1 2024 (growth of 7.8%), and the weakest in Q4 2021 (a decline of 1.9%).
- Business Quant data shows NPCE's Non-Current Debt at $59.02 million (Q1 2026), $58.88 million (Q4 2025) and $58.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | NeuroPace | 477.90 Mn | 251.15 Mn | 18.91 Mn | 59.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.01 Mn |
| Mar 31, 2026 | 59.02 Mn |
| Dec 31, 2025 | 58.88 Mn |
| Sep 30, 2025 | 58.75 Mn |
| Jun 30, 2025 | 58.62 Mn |
| Mar 31, 2025 | 59.79 Mn |
| Dec 31, 2024 | 59.53 Mn |
| Sep 30, 2024 | 59.27 Mn |
| Jun 30, 2024 | 59.02 Mn |
| Mar 31, 2024 | 58.04 Mn |
| Dec 31, 2023 | 56.95 Mn |
| Sep 30, 2023 | 55.89 Mn |
| Jun 30, 2023 | 54.85 Mn |
| Mar 31, 2023 | 53.86 Mn |
| Dec 31, 2022 | 52.91 Mn |
| Sep 30, 2022 | 51.95 Mn |
| Jun 30, 2022 | 51.02 Mn |
| Mar 31, 2022 | 50.12 Mn |
| Dec 31, 2021 | 49.85 Mn |
| Sep 30, 2021 | 49.58 Mn |
API Access
NeuroPace Non-Current Debt 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-debt&ticker=NPCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();