Geron (GERN) Interest Expenses (2019 - 2026)
Geron (GERN) recorded Interest Expenses of $7.15 million in Q2 2026, down 16.1% from $8.52 million a year earlier and unchanged from the prior quarter.
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Analysis
Geron (GERN) Interest Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Geron's Interest Expenses came in at $30.23 million as of Jun 30, 2026, up 6.2% year-over-year; for FY2025, it was $32.66 million, up 76.5% from FY2024.
- Annual Interest Expenses has increased for five straight years, with a five-year compound annual growth rate of 112.1% (FY2020 to FY2025).
- Across earlier years, 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 is the lowest quarterly Interest Expenses since Q3 2024.
- On a year-over-year basis, Interest Expenses has declined for three consecutive quarters, with growth averaging 94.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 275.1% in Q4 2024, against a decline of 16.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.15 million (Q1 2026), $7.3 million (Q4 2025) and $8.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | - |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Geron | 750.44 Mn | -601.26 Mn | - | 7.15 Mn |
Historic Data
Download Data
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 |
API Access
Geron 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=interest-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();