Liquidia (LQDA) Total Liabilities (2019 - 2026)
Liquidia's Total Liabilities was $326.8 million in Q2 2026, up 34.9% from $242.22 million a year earlier and up 11.6% from the prior quarter.
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Analysis
Liquidia (LQDA) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Liquidia came in at $283.19 million, up 87.6% from FY2024.
- Total Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $150.94 million in FY2024 (+112.5%), $71.04 million in FY2023 (+83.2%), $38.78 million in FY2022 (+36.2%) and $28.46 million in FY2021 (+0.1%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2019.
- Compared with a year earlier, Total Liabilities has increased for 19 straight quarters, with growth averaging 88.8% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 0.1% (Q4 2021) and 131.7% (Q2 2025) over the last five years.
- Per Business Quant data, LQDA's Total Liabilities in the three quarters before Q2 2026 was $292.95 million (Q1 2026), $283.19 million (Q4 2025) and $253.93 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 | Liquidia | 6.56 Bn | 5.71 Bn | 160.13 Mn | 326.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 326.80 Mn |
| Mar 31, 2026 | 292.95 Mn |
| Dec 31, 2025 | 283.19 Mn |
| Sep 30, 2025 | 253.93 Mn |
| Jun 30, 2025 | 242.22 Mn |
| Mar 31, 2025 | 177.72 Mn |
| Dec 31, 2024 | 150.94 Mn |
| Sep 30, 2024 | 140.12 Mn |
| Jun 30, 2024 | 104.52 Mn |
| Mar 31, 2024 | 100.01 Mn |
| Dec 31, 2023 | 71.04 Mn |
| Sep 30, 2023 | 63.64 Mn |
| Jun 30, 2023 | 60.94 Mn |
| Mar 31, 2023 | 47.28 Mn |
| Dec 31, 2022 | 38.78 Mn |
| Sep 30, 2022 | 37.53 Mn |
| Jun 30, 2022 | 36.98 Mn |
| Mar 31, 2022 | 38.14 Mn |
| Dec 31, 2021 | 28.46 Mn |
| Sep 30, 2021 | 27.34 Mn |
API Access
Liquidia 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=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();