Gossamer Bio (GOSS) Non Operating Interest Expenses (2019 - 2026)
Gossamer Bio's Non Operating Interest Expenses was $2.71 million in Q2 2026, down 1.4% from $2.74 million a year earlier and down 1.8% from the prior quarter.
Gossamer Bio (GOSS) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gossamer Bio's Non Operating Interest Expenses was $10.96 million through Jun 30, 2026, unchanged year-over-year; for FY2025, it came in at $10.99 million, down 4.6% from FY2024.
- Non Operating Interest Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $11.52 million in FY2024 (-14.8%), $13.51 million in FY2023 (-2.7%), $13.88 million in FY2022 (-28.6%) and $19.44 million in FY2021 (+53.5%).
- The Q2 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q2 2020.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last eight quarters, with an average decline of 6.5%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2021 (growth of 3.9%); the worst was Q4 2022 (a decline of 30.0%).
- Per Business Quant data, GOSS's Non Operating Interest Expenses in the three quarters before Q2 2026 was $2.76 million (Q1 2026), $2.75 million (Q4 2025) and $2.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Gossamer Bio | 47.40 Mn | -425.99 Mn | - | 2.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.71 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 2.75 Mn |
| Sep 30, 2025 | 2.75 Mn |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 2.73 Mn |
| Jun 30, 2024 | 2.92 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 3.34 Mn |
| Jun 30, 2023 | 3.43 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 3.48 Mn |
| Jun 30, 2022 | 3.48 Mn |
| Mar 31, 2022 | 3.47 Mn |
| Dec 31, 2021 | 4.94 Mn |
| Sep 30, 2021 | 4.89 Mn |
Gossamer Bio 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=GOSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GOSS", "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=GOSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();