Biomarin Pharmaceutical (BMRN) Total Debt (2012 - 2026)
Biomarin Pharmaceutical's Total Debt was $4.19 billion in Q2 2026.
Analysis
Biomarin Pharmaceutical (BMRN) Total Debt (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Biomarin Pharmaceutical came in at $597.18 million.
- In earlier years, Total Debt was $493.88 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Total Debt in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Biomarin Pharmaceutical | 11.51 Bn | 5.37 Bn | 786.91 Mn | 4.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.19 Bn |
| Dec 31, 2025 | 597.18 Mn |
| Jun 30, 2024 | 494.84 Mn |
| Mar 31, 2024 | 494.36 Mn |
| Dec 31, 2023 | 493.88 Mn |
| Sep 30, 2023 | 493.40 Mn |
| Sep 30, 2020 | 374.29 Mn |
| Jun 30, 2020 | 370.10 Mn |
| Mar 31, 2020 | 365.96 Mn |
| Dec 31, 2019 | 361.88 Mn |
| Sep 30, 2018 | 374.23 Mn |
| Jun 30, 2018 | 369.75 Mn |
| Mar 31, 2018 | 365.33 Mn |
| Dec 31, 2017 | 360.95 Mn |
| Mar 31, 2017 | 22.50 Mn |
| Dec 31, 2016 | 22.48 Mn |
| Sep 30, 2016 | 22.46 Mn |
| Jun 30, 2016 | 24.42 Mn |
| Dec 31, 2012 | 23.37 Mn |
| Sep 30, 2012 | 23.44 Mn |
API Access
Biomarin Pharmaceutical Total 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=total-debt&ticker=BMRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "BMRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-debt&ticker=BMRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();