Biomarin Pharmaceutical (BMRN) Receivables (2009 - 2026)
Biomarin Pharmaceutical's Receivables was $1.06 billion in Q2 2026, up 24.0% from $855.86 million a year earlier and up 17.4% from the prior quarter.
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Analysis
Biomarin Pharmaceutical (BMRN) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Biomarin Pharmaceutical came in at $908.21 million, up 37.5% from FY2024.
- Receivables has now increased for four consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier years, Receivables was $660.54 million in FY2024 (+4.2%), $633.7 million in FY2023 (+37.4%), $461.32 million in FY2022 (+23.5%) and $373.4 million in FY2021 (-16.7%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2009.
- Compared with a year earlier, Receivables has increased for 18 straight quarters, with growth averaging 20.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2023 (growth of 39.0%); the worst was Q4 2021 (a decline of 16.7%).
- Per Business Quant data, BMRN's Receivables in the three quarters before Q2 2026 was $903.91 million (Q1 2026), $908.21 million (Q4 2025) and $790.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Biomarin Pharmaceutical | 11.51 Bn | 5.37 Bn | 786.91 Mn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 903.91 Mn |
| Dec 31, 2025 | 908.21 Mn |
| Sep 30, 2025 | 790.27 Mn |
| Jun 30, 2025 | 855.86 Mn |
| Mar 31, 2025 | 739.18 Mn |
| Dec 31, 2024 | 660.54 Mn |
| Sep 30, 2024 | 777.55 Mn |
| Jun 30, 2024 | 691.23 Mn |
| Mar 31, 2024 | 637.16 Mn |
| Dec 31, 2023 | 633.70 Mn |
| Sep 30, 2023 | 572.50 Mn |
| Jun 30, 2023 | 610.22 Mn |
| Mar 31, 2023 | 597.91 Mn |
| Dec 31, 2022 | 461.32 Mn |
| Sep 30, 2022 | 419.62 Mn |
| Jun 30, 2022 | 466.51 Mn |
| Mar 31, 2022 | 430.15 Mn |
| Dec 31, 2021 | 373.40 Mn |
| Sep 30, 2021 | 374.94 Mn |
API Access
Biomarin Pharmaceutical Receivables 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=receivables&ticker=BMRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BMRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();