Liquidia (LQDA) Total Non-Current Liabilities (2019 - 2026)
Liquidia's Total Non-Current Liabilities came in at $318.26 million for Q2 2026, up 35.9% from $234.25 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Liquidia (LQDA) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Liquidia's Total Non-Current Liabilities was $274.8 million, up 91.3% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 58.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $143.64 million in FY2024 (+123.3%), $64.33 million in FY2023 (+99.9%), $32.18 million in FY2022 (+44.2%) and $22.32 million in FY2021 (-18.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities has increased for 18 consecutive quarters, with growth averaging 94.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2025 (growth of 140.0%), and the weakest in Q4 2021 (a decline of 18.2%).
- Business Quant data shows LQDA's Total Non-Current Liabilities at $284.41 million (Q1 2026), $274.8 million (Q4 2025) and $245.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Liquidia | 2.70 Bn | 1.84 Bn | 160.13 Mn | 318.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.26 Mn |
| Mar 31, 2026 | 284.41 Mn |
| Dec 31, 2025 | 274.80 Mn |
| Sep 30, 2025 | 245.65 Mn |
| Jun 30, 2025 | 234.25 Mn |
| Mar 31, 2025 | 170.18 Mn |
| Dec 31, 2024 | 143.64 Mn |
| Sep 30, 2024 | 132.93 Mn |
| Jun 30, 2024 | 97.59 Mn |
| Mar 31, 2024 | 93.30 Mn |
| Dec 31, 2023 | 64.33 Mn |
| Sep 30, 2023 | 56.93 Mn |
| Jun 30, 2023 | 54.25 Mn |
| Mar 31, 2023 | 40.67 Mn |
| Dec 31, 2022 | 32.18 Mn |
| Sep 30, 2022 | 30.97 Mn |
| Jun 30, 2022 | 30.46 Mn |
| Mar 31, 2022 | 31.72 Mn |
| Dec 31, 2021 | 22.32 Mn |
| Sep 30, 2021 | 22.26 Mn |
API Access
Liquidia Total Non-Current 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-non-current-liabilities&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();