LeonaBio (LONA) Cash & Equivalents (2019 - 2026)
LeonaBio (LONA) posted Cash & Equivalents of $32.32 million for Q2 2026, up 62.5% from $19.89 million a year earlier but down 1.6% from the prior quarter.
LeonaBio (LONA) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, LeonaBio's Cash & Equivalents came in at $69.28 million, up 43.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, LeonaBio's Cash & Equivalents was $48.44 million in FY2024 (-46.5%), $90.58 million in FY2023 (-5.6%), $95.97 million in FY2022 (-13.2%) and $110.54 million in FY2021 (+82.3%).
- Quarterly Cash & Equivalents has run from a low of $19.89 million in Q2 2025 to a high of $117.81 million in Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with an average decline of 20.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 82.3%; the weakest was Q2 2025, with a decline of 73.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $32.83 million (Q1 2026), $69.28 million (Q4 2025) and $20.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | LeonaBio | 114.36 Mn | -117.94 Mn | - | 32.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.32 Mn |
| Mar 31, 2026 | 32.83 Mn |
| Dec 31, 2025 | 69.28 Mn |
| Sep 30, 2025 | 20.87 Mn |
| Jun 30, 2025 | 19.89 Mn |
| Mar 31, 2025 | 26.42 Mn |
| Dec 31, 2024 | 48.44 Mn |
| Sep 30, 2024 | 68.86 Mn |
| Jun 30, 2024 | 73.83 Mn |
| Mar 31, 2024 | 77.82 Mn |
| Dec 31, 2023 | 90.58 Mn |
| Sep 30, 2023 | 110.33 Mn |
| Jun 30, 2023 | 113.63 Mn |
| Mar 31, 2023 | 105.18 Mn |
| Dec 31, 2022 | 95.97 Mn |
| Sep 30, 2022 | 87.05 Mn |
| Jun 30, 2022 | 95.06 Mn |
| Mar 31, 2022 | 117.81 Mn |
| Dec 31, 2021 | 110.54 Mn |
| Sep 30, 2021 | 107.33 Mn |
LeonaBio Cash & Equivalents 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=cash-and-equivalents&ticker=LONA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LONA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();