Neurogene (NGNE) Total Non-Current Liabilities (2013 - 2026)
Neurogene's Total Non-Current Liabilities was $26.82 million in Q2 2026, up 15.0% from $23.32 million a year earlier and up 7.5% from the prior quarter.
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Analysis
Neurogene (NGNE) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Neurogene came in at $23.29 million, down 5.5% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a three-year compound annual growth rate of -55.0% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $24.64 million in FY2024 (-30.7%), $35.54 million in FY2023 (-86.1%) and $255 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last seven quarters, with an average decline of 5.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 15.0%); the worst was Q4 2023 (a decline of 86.1%).
- Per Business Quant data, NGNE's Total Non-Current Liabilities in the three quarters before Q2 2026 was $24.95 million (Q1 2026), $23.29 million (Q4 2025) and $21.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Neurogene | 627.40 Mn | 627.40 Mn | - | 26.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.82 Mn |
| Mar 31, 2026 | 24.95 Mn |
| Dec 31, 2025 | 23.29 Mn |
| Sep 30, 2025 | 21.87 Mn |
| Jun 30, 2025 | 23.32 Mn |
| Mar 31, 2025 | 22.77 Mn |
| Dec 31, 2024 | 24.64 Mn |
| Sep 30, 2024 | 26.06 Mn |
| Jun 30, 2024 | 24.09 Mn |
| Mar 31, 2024 | 23.72 Mn |
| Dec 31, 2023 | 35.54 Mn |
| Dec 31, 2022 | 255.00 Mn |
| Jun 30, 2019 | 1.41 Mn |
| Mar 31, 2019 | 3.89 Mn |
| Dec 31, 2018 | 4.63 Mn |
| Sep 30, 2018 | 10.75 Mn |
| Jun 30, 2018 | 13.35 Mn |
| Mar 31, 2018 | 9.36 Mn |
| Dec 31, 2017 | 10.96 Mn |
| Sep 30, 2017 | 7.00 Mn |
API Access
Neurogene Total Non-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-non-current-liabilities&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NGNE", "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-non-current-liabilities&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();