Liquidia (LQDA) Cost of Revenue (2020 - 2026)
Liquidia (LQDA) reported Cost of Revenue of $11.55 million for Q2 2026, up 671.5% from $1.5 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Liquidia (LQDA) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidia's Cost of Revenue came in at $33.63 million, up 466.8% year-over-year; for FY2025, it was $13.24 million, up 125.2% from FY2024.
- Cost of Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 123.5% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $5.88 million in FY2024 (+103.6%), $2.89 million in FY2023 (+1.0%), $2.86 million in FY2022 (-5.4%) and $3.02 million in FY2021.
- Five-year quarterly Cost of Revenue spans a low of $570,000 in Q3 2023 and a high of $11.85 million in Q1 2026.
- Year over year, Cost of Revenue has now increased in each of the last 11 quarters, with growth averaging 261.4% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2026 (growth of 681.3%); the low point was Q3 2023 (a decline of 23.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.85 million (Q1 2026), $7.06 million (Q4 2025) and $3.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Liquidia | 2.55 Bn | 1.70 Bn | 160.13 Mn | 11.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.55 Mn |
| Mar 31, 2026 | 11.85 Mn |
| Dec 31, 2025 | 7.06 Mn |
| Sep 30, 2025 | 3.17 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.57 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 993,000.00 |
| Sep 30, 2023 | 570,000.00 |
| Jun 30, 2023 | 671,000.00 |
| Mar 31, 2023 | 654,000.00 |
| Dec 31, 2022 | 694,000.00 |
| Sep 30, 2022 | 740,000.00 |
| Jun 30, 2022 | 731,000.00 |
| Mar 31, 2022 | 694,000.00 |
| Dec 31, 2021 | 726,000.00 |
| Sep 30, 2021 | 890,000.00 |
API Access
Liquidia Cost of Revenue 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=cost-of-revenue&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();