Liquidia (LQDA) Cash & Equivalents (2019 - 2026)
Liquidia (LQDA) posted Cash & Equivalents of $284.18 million for Q2 2026, up 63.9% from $173.42 million a year earlier and up 27.6% from the prior quarter.
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Analysis
Liquidia (LQDA) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Liquidia's Cash & Equivalents came in at $190.68 million, up 8.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- In prior years, Liquidia's Cash & Equivalents was $176.48 million in FY2024 (+110.9%), $83.68 million in FY2023 (-10.3%), $93.28 million in FY2022 (+62.2%) and $57.49 million in FY2021 (-12.0%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2019.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 49.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2024, with growth of 168.1%; the weakest was Q3 2025, with a decline of 22.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $222.79 million (Q1 2026), $190.68 million (Q4 2025) and $157.5 million (Q3 2025).
Peer Set
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 | Liquidia | 2.55 Bn | 1.70 Bn | 160.13 Mn | 284.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.18 Mn |
| Mar 31, 2026 | 222.79 Mn |
| Dec 31, 2025 | 190.68 Mn |
| Sep 30, 2025 | 157.50 Mn |
| Jun 30, 2025 | 173.42 Mn |
| Mar 31, 2025 | 169.76 Mn |
| Dec 31, 2024 | 176.48 Mn |
| Sep 30, 2024 | 204.37 Mn |
| Jun 30, 2024 | 133.09 Mn |
| Mar 31, 2024 | 157.86 Mn |
| Dec 31, 2023 | 83.68 Mn |
| Sep 30, 2023 | 76.23 Mn |
| Jun 30, 2023 | 88.20 Mn |
| Mar 31, 2023 | 94.41 Mn |
| Dec 31, 2022 | 93.28 Mn |
| Sep 30, 2022 | 98.32 Mn |
| Jun 30, 2022 | 103.84 Mn |
| Mar 31, 2022 | 57.80 Mn |
| Dec 31, 2021 | 57.49 Mn |
| Sep 30, 2021 | 64.10 Mn |
API Access
Liquidia 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=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "LQDA", "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=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();