Neurogene (NGNE) Cash & Equivalents (2013 - 2026)
Neurogene (NGNE) recorded Cash & Equivalents of $112.49 million in Q2 2026, up 91.3% from $58.81 million a year earlier but down 9.4% from the prior quarter.
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Analysis
Neurogene (NGNE) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Neurogene reported Cash & Equivalents of $103.85 million, down 24.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $136.59 million in FY2024 (-7.8%), $148.21 million in FY2023 (+80.7%), $82.02 million in FY2022 (-42.4%) and $142.47 million in FY2021 (-26.0%).
- Quarterly Cash & Equivalents has ranged from $25.23 million in Q3 2023 to $154.92 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 25.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 323.0% in Q1 2024, against a decline of 74.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $124.16 million (Q1 2026), $103.85 million (Q4 2025) and $71.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Neurogene | 578.46 Mn | 578.46 Mn | - | 112.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.49 Mn |
| Mar 31, 2026 | 124.16 Mn |
| Dec 31, 2025 | 103.85 Mn |
| Sep 30, 2025 | 71.01 Mn |
| Jun 30, 2025 | 58.81 Mn |
| Mar 31, 2025 | 70.77 Mn |
| Dec 31, 2024 | 136.59 Mn |
| Sep 30, 2024 | 66.63 Mn |
| Jun 30, 2024 | 111.03 Mn |
| Mar 31, 2024 | 150.14 Mn |
| Dec 31, 2023 | 148.21 Mn |
| Sep 30, 2023 | 25.23 Mn |
| Jun 30, 2023 | 31.11 Mn |
| Mar 31, 2023 | 35.49 Mn |
| Dec 31, 2022 | 82.02 Mn |
| Sep 30, 2022 | 40.34 Mn |
| Jun 30, 2022 | 77.53 Mn |
| Mar 31, 2022 | 128.06 Mn |
| Dec 31, 2021 | 142.47 Mn |
| Sep 30, 2021 | 154.92 Mn |
API Access
Neurogene Cash & Equivalents 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=cash-and-equivalents&ticker=NGNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NGNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();