NeuroPace (NPCE) Total Current Liabilities (2020 - 2026)
NeuroPace (NPCE) recorded Total Current Liabilities of $16.07 million in Q3 2026, down 18.0% from $19.61 million a year earlier and down 7.8% from the prior quarter.
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Analysis
NeuroPace (NPCE) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, NeuroPace reported Total Current Liabilities of $17.81 million, up 17.5% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $15.16 million in FY2024 (-6.6%), $16.23 million in FY2023 (+47.9%), $10.98 million in FY2022 (+18.0%) and $9.3 million in FY2021 (-3.1%).
- The Q3 2026 figure is the lowest quarterly Total Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 10.7%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 49.8% in Q2 2022, against a decline of 18.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.43 million (Q2 2026), $16.17 million (Q1 2026) and $17.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | NeuroPace | 260.31 Mn | 44.34 Mn | 19.47 Mn | 16.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.07 Mn |
| Jun 30, 2026 | 17.43 Mn |
| Mar 31, 2026 | 16.17 Mn |
| Dec 31, 2025 | 17.81 Mn |
| Sep 30, 2025 | 19.61 Mn |
| Jun 30, 2025 | 17.14 Mn |
| Mar 31, 2025 | 14.71 Mn |
| Dec 31, 2024 | 15.16 Mn |
| Sep 30, 2024 | 14.78 Mn |
| Jun 30, 2024 | 12.59 Mn |
| Mar 31, 2024 | 13.11 Mn |
| Dec 31, 2023 | 16.23 Mn |
| Sep 30, 2023 | 12.82 Mn |
| Jun 30, 2023 | 11.51 Mn |
| Mar 31, 2023 | 9.88 Mn |
| Dec 31, 2022 | 10.98 Mn |
| Sep 30, 2022 | 9.42 Mn |
| Jun 30, 2022 | 11.40 Mn |
| Mar 31, 2022 | 12.06 Mn |
| Dec 31, 2021 | 9.30 Mn |
API Access
NeuroPace Total Current Liabilities 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=total-current-liabilities&ticker=NPCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=NPCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();