Biomarin Pharmaceutical (BMRN) Debt Ratio (2012 - 2026)
Biomarin Pharmaceutical's Debt Ratio came in at 0.36 for Q2 2026.
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Analysis
Biomarin Pharmaceutical (BMRN) Debt Ratio (2012 - 2026) Analysis & Trends
For FY2025, Biomarin Pharmaceutical's Debt Ratio was 0.08.
- Going back by year, Debt Ratio was 0.07 in FY2023.
- The Q2 2026 figure represents the highest quarterly Debt Ratio in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,162.99 Bn | 1,131.58 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 633.71 Bn | 552.23 Bn | 17.26 Bn | 0.24 |
| 3 | AbbVie | 502.40 Bn | 475.51 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 376.48 Bn | 330.86 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 303.61 Bn | 267.60 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 267.02 Bn | 240.70 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 240.85 Bn | 196.25 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 193.39 Bn | 167.58 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | 0.31 |
| 10 | Biomarin Pharmaceutical | 10.84 Bn | 4.70 Bn | 786.91 Mn | 0.36 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.36 |
| Mar 31, 2026 | 0.17 |
| Dec 31, 2025 | 0.08 |
| Jun 30, 2024 | 0.07 |
| Mar 31, 2024 | 0.07 |
| Dec 31, 2023 | 0.07 |
| Sep 30, 2023 | 0.07 |
| Sep 30, 2020 | 0.06 |
| Jun 30, 2020 | 0.07 |
| Mar 31, 2020 | 0.08 |
| Dec 31, 2019 | 0.08 |
| Sep 30, 2018 | 0.08 |
| Jun 30, 2018 | 0.08 |
| Mar 31, 2018 | 0.08 |
| Dec 31, 2017 | 0.08 |
| Mar 31, 2017 | 0.01 |
| Dec 31, 2016 | 0.01 |
| Sep 30, 2016 | 0.01 |
| Jun 30, 2016 | 0.01 |
| Dec 31, 2012 | 0.01 |
API Access
Biomarin Pharmaceutical Debt Ratio 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=debt-ratio&ticker=BMRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=BMRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();