Geron (GERN) Total Liabilities (2010 - 2026)
Geron (GERN) posted Total Liabilities of $300.4 million for Q2 2026, up 1.6% from $295.67 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Geron (GERN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Geron's Total Liabilities came in at $344.67 million, up 10.0% from FY2024.
- Annual Total Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 42.0% (FY2020 to FY2025).
- In prior years, Geron's Total Liabilities was $313.46 million in FY2024 (+114.5%), $146.13 million in FY2023 (+32.1%), $110.58 million in FY2022 (+11.0%) and $99.62 million in FY2021 (+66.6%).
- Quarterly Total Liabilities has run from a low of $77.54 million in Q3 2021 to a high of $344.67 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 11 quarters, with growth averaging 60.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2024, with growth of 114.5%; the weakest was Q1 2023, with a decline of 2.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $305.01 million (Q1 2026), $344.67 million (Q4 2025) and $318.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Geron | 814.10 Mn | -537.60 Mn | - | 300.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.40 Mn |
| Mar 31, 2026 | 305.01 Mn |
| Dec 31, 2025 | 344.67 Mn |
| Sep 30, 2025 | 318.68 Mn |
| Jun 30, 2025 | 295.67 Mn |
| Mar 31, 2025 | 294.21 Mn |
| Dec 31, 2024 | 313.46 Mn |
| Sep 30, 2024 | 152.67 Mn |
| Jun 30, 2024 | 142.70 Mn |
| Mar 31, 2024 | 137.21 Mn |
| Dec 31, 2023 | 146.13 Mn |
| Sep 30, 2023 | 122.40 Mn |
| Jun 30, 2023 | 116.87 Mn |
| Mar 31, 2023 | 98.82 Mn |
| Dec 31, 2022 | 110.58 Mn |
| Sep 30, 2022 | 124.43 Mn |
| Jun 30, 2022 | 96.11 Mn |
| Mar 31, 2022 | 100.93 Mn |
| Dec 31, 2021 | 99.62 Mn |
| Sep 30, 2021 | 77.54 Mn |
API Access
Geron 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=GERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GERN", "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=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();