Geron (GERN) Non Operating Interest Expenses (2019 - 2026)
Geron (GERN) reported Non Operating Interest Expenses of $7.15 million for Q2 2026, down 16.1% from $8.52 million a year earlier and unchanged from the prior quarter.
Geron (GERN) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Geron's Non Operating Interest Expenses came in at $30.23 million, up 6.2% year-over-year; for FY2025, it was $32.66 million, up 76.5% from FY2024.
- Non Operating Interest Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 112.1% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $18.5 million in FY2024 (+122.6%), $8.31 million in FY2023 (+20.8%), $6.88 million in FY2022 (+84.0%) and $3.74 million in FY2021 (+392.1%).
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q3 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last three quarters, with growth averaging 94.6% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2024 (growth of 275.1%); the low point was Q4 2025 (a decline of 16.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.15 million (Q1 2026), $7.3 million (Q4 2025) and $8.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | - |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | - |
| 10 | Geron | 719.57 Mn | -632.13 Mn | - | 7.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.15 Mn |
| Mar 31, 2026 | 7.15 Mn |
| Dec 31, 2025 | 7.30 Mn |
| Sep 30, 2025 | 8.64 Mn |
| Jun 30, 2025 | 8.52 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 8.71 Mn |
| Sep 30, 2024 | 3.05 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | 2.32 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 2.01 Mn |
| Sep 30, 2022 | 1.82 Mn |
| Jun 30, 2022 | 1.58 Mn |
| Mar 31, 2022 | 1.48 Mn |
| Dec 31, 2021 | 1.14 Mn |
| Sep 30, 2021 | 1.06 Mn |
Geron Non Operating Interest Expenses 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-operating-interest-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();