Geron (GERN) Total Current Liabilities (2010 - 2026)
Geron (GERN) recorded Total Current Liabilities of $70.33 million in Q2 2026, up 9.4% from $64.28 million a year earlier but down 4.4% from the prior quarter.
Geron (GERN) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Geron reported Total Current Liabilities of $111.54 million, up 26.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $88.3 million in FY2024 (-18.3%), $108.07 million in FY2023 (+40.9%), $76.69 million in FY2022 (+68.5%) and $45.52 million in FY2021 (+47.1%).
- Quarterly Total Current Liabilities has ranged from $38.47 million in Q3 2021 to $137.93 million in Q3 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 180.5% in Q1 2024, against a decline of 48.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $73.57 million (Q1 2026), $111.54 million (Q4 2025) and $87.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Geron | 827.50 Mn | -524.20 Mn | - | 70.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.33 Mn |
| Mar 31, 2026 | 73.57 Mn |
| Dec 31, 2025 | 111.54 Mn |
| Sep 30, 2025 | 87.71 Mn |
| Jun 30, 2025 | 64.28 Mn |
| Mar 31, 2025 | 63.03 Mn |
| Dec 31, 2024 | 88.30 Mn |
| Sep 30, 2024 | 137.93 Mn |
| Jun 30, 2024 | 103.54 Mn |
| Mar 31, 2024 | 123.16 Mn |
| Dec 31, 2023 | 108.07 Mn |
| Sep 30, 2023 | 89.39 Mn |
| Jun 30, 2023 | 72.57 Mn |
| Mar 31, 2023 | 43.91 Mn |
| Dec 31, 2022 | 76.69 Mn |
| Sep 30, 2022 | 82.81 Mn |
| Jun 30, 2022 | 46.88 Mn |
| Mar 31, 2022 | 46.63 Mn |
| Dec 31, 2021 | 45.52 Mn |
| Sep 30, 2021 | 38.47 Mn |
Geron 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=GERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();