Geron (GERN) Non-Current Debt (2011 - 2026)
Geron's Non-Current Debt was $120.13 million in Q2 2026, up 1.0% from $118.99 million a year earlier and up 0.2% from the prior quarter.
Analysis
Geron (GERN) Non-Current Debt (2011 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Geron came in at $119.55 million, up 0.9% from FY2024.
- Non-Current Debt has now increased for three consecutive years, with a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $118.48 million in FY2024 (+238.0%), $35.05 million in FY2023 (+16.0%), $30.21 million in FY2022 (-39.4%) and $49.83 million in FY2021 (+107.3%).
- The Q2 2026 figure marks the highest quarterly Non-Current Debt in data going back to Q3 2011.
- Compared with a year earlier, Non-Current Debt has increased for seven straight quarters, with growth averaging 279.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q1 2025 (growth of 958.3%); the worst was Q1 2024 (a decline of 78.2%).
- Per Business Quant data, GERN's Non-Current Debt in the three quarters before Q2 2026 was $119.83 million (Q1 2026), $119.55 million (Q4 2025) and $119.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Geron | 827.50 Mn | -524.20 Mn | - | 120.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.13 Mn |
| Mar 31, 2026 | 119.83 Mn |
| Dec 31, 2025 | 119.55 Mn |
| Sep 30, 2025 | 119.26 Mn |
| Jun 30, 2025 | 118.99 Mn |
| Mar 31, 2025 | 118.73 Mn |
| Dec 31, 2024 | 118.48 Mn |
| Sep 30, 2024 | 12.28 Mn |
| Jun 30, 2024 | 36.52 Mn |
| Mar 31, 2024 | 11.22 Mn |
| Dec 31, 2023 | 35.05 Mn |
| Sep 30, 2023 | 29.84 Mn |
| Jun 30, 2023 | 40.80 Mn |
| Mar 31, 2023 | 51.40 Mn |
| Dec 31, 2022 | 30.21 Mn |
| Sep 30, 2022 | 37.80 Mn |
| Jun 30, 2022 | 45.26 Mn |
| Mar 31, 2022 | 50.18 Mn |
| Dec 31, 2021 | 49.83 Mn |
| Sep 30, 2021 | 34.67 Mn |
API Access
Geron Non-Current Debt 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=non-current-debt&ticker=GERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();