Liquidia (LQDA) Accumulated Expenses (2021 - 2026)
Liquidia (LQDA) posted Accumulated Expenses of $121.7 million for Q2 2026, up 440.4% from $22.52 million a year earlier and up 38.7% from the prior quarter.
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Analysis
Liquidia (LQDA) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Liquidia's Accumulated Expenses came in at $73.2 million, up 292.3% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 94.0% (FY2021 to FY2025).
- In prior years, Liquidia's Accumulated Expenses was $18.66 million in FY2024 (+39.2%), $13.4 million in FY2023 (+142.7%), $5.52 million in FY2022 (+6.8%) and $5.17 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 208.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 533.8%; the weakest was Q2 2024, with a decline of 11.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $87.73 million (Q1 2026), $73.2 million (Q4 2025) and $40.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Liquidia | 2.70 Bn | 1.84 Bn | 160.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.70 Mn |
| Mar 31, 2026 | 87.73 Mn |
| Dec 31, 2025 | 73.20 Mn |
| Sep 30, 2025 | 40.44 Mn |
| Jun 30, 2025 | 22.52 Mn |
| Mar 31, 2025 | 13.84 Mn |
| Dec 31, 2024 | 18.66 Mn |
| Sep 30, 2024 | 17.04 Mn |
| Jun 30, 2024 | 13.10 Mn |
| Mar 31, 2024 | 14.07 Mn |
| Dec 31, 2023 | 13.40 Mn |
| Sep 30, 2023 | 6.62 Mn |
| Jun 30, 2023 | 14.77 Mn |
| Mar 31, 2023 | 2.95 Mn |
| Dec 31, 2022 | 5.52 Mn |
| Sep 30, 2022 | 5.22 Mn |
| Jun 30, 2022 | 4.31 Mn |
| Dec 31, 2021 | 5.17 Mn |
API Access
Liquidia Accumulated Expenses 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=accumulated-expenses&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();