Neurogene (NGNE) Total Liabilities (2013 - 2026)
Neurogene's Total Liabilities was $27.23 million in Q2 2026, up 13.2% from $24.06 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Neurogene (NGNE) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Neurogene came in at $23.72 million, down 6.5% from FY2024.
- Total Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $25.36 million in FY2024 (-30.6%), $36.55 million in FY2023 (-85.7%), $255 million in FY2022 (-0.1%) and $255.14 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q4 2023.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 16.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2026 (growth of 13.2%); the worst was Q2 2024 (a decline of 90.6%).
- Per Business Quant data, NGNE's Total Liabilities in the three quarters before Q2 2026 was $25.36 million (Q1 2026), $23.72 million (Q4 2025) and $22.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Neurogene | 642.28 Mn | 642.28 Mn | - | 27.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.23 Mn |
| Mar 31, 2026 | 25.36 Mn |
| Dec 31, 2025 | 23.72 Mn |
| Sep 30, 2025 | 22.29 Mn |
| Jun 30, 2025 | 24.06 Mn |
| Mar 31, 2025 | 23.51 Mn |
| Dec 31, 2024 | 25.36 Mn |
| Sep 30, 2024 | 26.71 Mn |
| Jun 30, 2024 | 24.81 Mn |
| Mar 31, 2024 | 24.57 Mn |
| Dec 31, 2023 | 36.55 Mn |
| Sep 30, 2023 | 272.80 Mn |
| Jun 30, 2023 | 263.06 Mn |
| Mar 31, 2023 | 256.06 Mn |
| Dec 31, 2022 | 255.00 Mn |
| Sep 30, 2022 | 20.93 Mn |
| Jun 30, 2022 | 20.31 Mn |
| Mar 31, 2022 | 19.03 Mn |
| Dec 31, 2021 | 255.14 Mn |
| Sep 30, 2021 | 21.07 Mn |
API Access
Neurogene Total 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-liabilities&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();