BridgeBio Pharma (BBIO) Non Operating Interest Expenses (2018 - 2026)
BridgeBio Pharma (BBIO) posted Non Operating Interest Expenses of $13.28 million for Q2 2026, up 14.4% from $11.61 million a year earlier and up 2.6% from the prior quarter.
BridgeBio Pharma (BBIO) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at BridgeBio Pharma was $49.6 million, down 33.3% year-over-year; for FY2025, it was $53.1 million, down 41.6% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, BridgeBio Pharma's Non Operating Interest Expenses was $90.99 million in FY2024 (+11.9%), $81.29 million in FY2023 (+1.1%), $80.44 million in FY2022 (+72.0%) and $46.78 million in FY2021 (+27.6%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses since Q1 2025.
- On a year-over-year basis, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 20.2%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2022, with growth of 108.9%; the weakest was Q2 2025, with a decline of 49.4%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $12.94 million (Q1 2026), $11.64 million (Q4 2025) and $11.74 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 | BridgeBio Pharma | 12.85 Bn | 9.97 Bn | 228.63 Mn | 13.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.28 Mn |
| Mar 31, 2026 | 12.94 Mn |
| Dec 31, 2025 | 11.64 Mn |
| Sep 30, 2025 | 11.74 Mn |
| Jun 30, 2025 | 11.61 Mn |
| Mar 31, 2025 | 18.12 Mn |
| Dec 31, 2024 | 21.52 Mn |
| Sep 30, 2024 | 23.06 Mn |
| Jun 30, 2024 | 22.94 Mn |
| Mar 31, 2024 | 23.47 Mn |
| Dec 31, 2023 | 20.27 Mn |
| Sep 30, 2023 | 20.31 Mn |
| Jun 30, 2023 | 20.59 Mn |
| Mar 31, 2023 | 20.12 Mn |
| Dec 31, 2022 | 19.99 Mn |
| Sep 30, 2022 | 19.83 Mn |
| Jun 30, 2022 | 20.28 Mn |
| Mar 31, 2022 | 20.34 Mn |
| Dec 31, 2021 | 15.13 Mn |
| Sep 30, 2021 | 11.07 Mn |
BridgeBio Pharma 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=BBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BBIO", "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=BBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();