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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | LeonaBio | 95.38 Mn | -136.92 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();