Zura Bio (ZURA) Total Current Liabilities (2021 - 2026)
Zura Bio (ZURA) posted Total Current Liabilities of $16.32 million for Q2 2026, down 12.7% from $18.7 million a year earlier but up 38.9% from the prior quarter.
Zura Bio (ZURA) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Zura Bio's Total Current Liabilities came in at $12.41 million, down 36.4% from FY2024.
- Annual Total Current Liabilities shows a four-year compound annual growth rate of 159.8% (FY2021 to FY2025).
- In prior years, Zura Bio's Total Current Liabilities was $19.51 million in FY2024 (-3.9%), $20.3 million in FY2023 (+37.0%), $14.82 million in FY2022 and $272,292 in FY2021.
- Quarterly Total Current Liabilities has run from a low of $272,292 in Q4 2021 to a high of $25.49 million in Q3 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 193.9%; the weakest was Q1 2026, with a decline of 44.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $11.75 million (Q1 2026), $12.41 million (Q4 2025) and $25.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Zura Bio | 527.50 Mn | 527.50 Mn | - | 16.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.32 Mn |
| Mar 31, 2026 | 11.75 Mn |
| Dec 31, 2025 | 12.41 Mn |
| Sep 30, 2025 | 25.49 Mn |
| Jun 30, 2025 | 18.70 Mn |
| Mar 31, 2025 | 21.09 Mn |
| Dec 31, 2024 | 19.51 Mn |
| Sep 30, 2024 | 18.24 Mn |
| Jun 30, 2024 | 15.07 Mn |
| Mar 31, 2024 | 14.67 Mn |
| Dec 31, 2023 | 20.30 Mn |
| Sep 30, 2023 | 17.01 Mn |
| Jun 30, 2023 | 19.94 Mn |
| Mar 31, 2023 | 4.99 Mn |
| Dec 31, 2022 | 14.82 Mn |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 1.04 Mn |
| Mar 31, 2022 | 369,439.00 |
| Dec 31, 2021 | 272,292.00 |
Zura Bio 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=ZURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ZURA", "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=ZURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();