LeonaBio (LONA) Total Current Liabilities (2019 - 2026)
LeonaBio (LONA) recorded Total Current Liabilities of $7.82 million in Q2 2026, up 162.2% from $2.98 million a year earlier and up 17.3% from the prior quarter.
LeonaBio (LONA) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, LeonaBio reported Total Current Liabilities of $47.5 million, up 261.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 60.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $13.14 million in FY2024 (-54.5%), $28.84 million in FY2023 (+34.6%), $21.43 million in FY2022 (+130.6%) and $9.29 million in FY2021 (+110.9%).
- Quarterly Total Current Liabilities has ranged from $2.79 million in Q3 2025 to $47.5 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 261.7% in Q4 2025, against a decline of 90.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.67 million (Q1 2026), $47.5 million (Q4 2025) and $2.79 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 | LeonaBio | 68.09 Mn | -164.21 Mn | - | 7.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.82 Mn |
| Mar 31, 2026 | 6.67 Mn |
| Dec 31, 2025 | 47.50 Mn |
| Sep 30, 2025 | 2.79 Mn |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 5.49 Mn |
| Dec 31, 2024 | 13.14 Mn |
| Sep 30, 2024 | 27.75 Mn |
| Jun 30, 2024 | 26.90 Mn |
| Mar 31, 2024 | 25.60 Mn |
| Dec 31, 2023 | 28.84 Mn |
| Sep 30, 2023 | 28.62 Mn |
| Jun 30, 2023 | 21.66 Mn |
| Mar 31, 2023 | 20.15 Mn |
| Dec 31, 2022 | 21.43 Mn |
| Sep 30, 2022 | 10.26 Mn |
| Jun 30, 2022 | 9.69 Mn |
| Mar 31, 2022 | 9.47 Mn |
| Dec 31, 2021 | 9.29 Mn |
| Sep 30, 2021 | 9.39 Mn |
LeonaBio 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=LONA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "LONA", "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=LONA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();