LeonaBio (LONA) Total Liabilities (2019 - 2026)
LeonaBio (LONA) posted Total Liabilities of $23.3 million for Q2 2026, up 554.7% from $3.56 million a year earlier and up 4.5% from the prior quarter.
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Analysis
LeonaBio (LONA) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, LeonaBio's Total Liabilities came in at $64.36 million, up 361.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 64.9% (FY2020 to FY2025).
- In prior years, LeonaBio's Total Liabilities was $13.94 million in FY2024 (-53.6%), $30.06 million in FY2023 (+30.6%), $23.02 million in FY2022 (+110.7%) and $10.92 million in FY2021 (+106.9%).
- Quarterly Total Liabilities has run from a low of $3.25 million in Q3 2025 to a high of $64.36 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 108.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 554.7%; the weakest was Q3 2025, with a decline of 88.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $22.29 million (Q1 2026), $64.36 million (Q4 2025) and $3.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | LeonaBio | 68.09 Mn | -164.21 Mn | - | 23.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.30 Mn |
| Mar 31, 2026 | 22.29 Mn |
| Dec 31, 2025 | 64.36 Mn |
| Sep 30, 2025 | 3.25 Mn |
| Jun 30, 2025 | 3.56 Mn |
| Mar 31, 2025 | 6.18 Mn |
| Dec 31, 2024 | 13.94 Mn |
| Sep 30, 2024 | 28.66 Mn |
| Jun 30, 2024 | 27.92 Mn |
| Mar 31, 2024 | 26.72 Mn |
| Dec 31, 2023 | 30.06 Mn |
| Sep 30, 2023 | 29.94 Mn |
| Jun 30, 2023 | 23.07 Mn |
| Mar 31, 2023 | 21.65 Mn |
| Dec 31, 2022 | 23.02 Mn |
| Sep 30, 2022 | 11.94 Mn |
| Jun 30, 2022 | 11.45 Mn |
| Mar 31, 2022 | 11.03 Mn |
| Dec 31, 2021 | 10.92 Mn |
| Sep 30, 2021 | 11.09 Mn |
API Access
LeonaBio Total 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-liabilities&ticker=LONA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LONA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();