Biocryst Pharmaceuticals (BCRX) Total Current Liabilities (2010 - 2026)
Biocryst Pharmaceuticals' Total Current Liabilities was $208.85 million in Q2 2026, up 17.9% from $177.16 million a year earlier and up 6.9% from the prior quarter.
Biocryst Pharmaceuticals (BCRX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Biocryst Pharmaceuticals came in at $196.07 million, up 22.2% from FY2024.
- Total Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $160.38 million in FY2024 (+6.9%), $149.99 million in FY2023 (+42.1%), $105.51 million in FY2022 (+1.7%) and $103.72 million in FY2021 (-1.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Current Liabilities has increased for 12 straight quarters, with growth averaging 29.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2024 (growth of 69.2%); the worst was Q3 2022 (a decline of 38.9%).
- Per Business Quant data, BCRX's Total Current Liabilities in the three quarters before Q2 2026 was $195.39 million (Q1 2026), $196.07 million (Q4 2025) and $190.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Biocryst Pharmaceuticals | 2.16 Bn | 1.08 Bn | 214.41 Mn | 208.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.85 Mn |
| Mar 31, 2026 | 195.39 Mn |
| Dec 31, 2025 | 196.07 Mn |
| Sep 30, 2025 | 190.24 Mn |
| Jun 30, 2025 | 177.16 Mn |
| Mar 31, 2025 | 139.86 Mn |
| Dec 31, 2024 | 160.38 Mn |
| Sep 30, 2024 | 153.57 Mn |
| Jun 30, 2024 | 129.07 Mn |
| Mar 31, 2024 | 119.92 Mn |
| Dec 31, 2023 | 149.99 Mn |
| Sep 30, 2023 | 90.76 Mn |
| Jun 30, 2023 | 93.50 Mn |
| Mar 31, 2023 | 85.16 Mn |
| Dec 31, 2022 | 105.51 Mn |
| Sep 30, 2022 | 81.64 Mn |
| Jun 30, 2022 | 95.39 Mn |
| Mar 31, 2022 | 81.02 Mn |
| Dec 31, 2021 | 103.72 Mn |
| Sep 30, 2021 | 133.61 Mn |
Biocryst Pharmaceuticals Total Current Liabilities 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-current-liabilities&ticker=BCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "BCRX", "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-current-liabilities&ticker=BCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();