Liquidia (LQDA) Selling, General & Administrative (2020 - 2026)
Liquidia (LQDA) recorded Selling, General & Administrative of $57.43 million in Q2 2026, up 47.9% from $38.82 million a year earlier and up 22.3% from the prior quarter.
Liquidia (LQDA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Liquidia's Selling, General & Administrative came in at $192.66 million as of Jun 30, 2026, up 74.7% year-over-year; for FY2025, it was $157.18 million, up 92.7% from FY2024.
- Annual Selling, General & Administrative has increased for four straight years, with a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $81.57 million in FY2024 (+82.3%), $44.74 million in FY2023 (+38.0%), $32.41 million in FY2022 (+40.2%) and $23.11 million in FY2021 (-15.6%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- On a year-over-year basis, Selling, General & Administrative has increased for 13 consecutive quarters, with growth averaging 73.5% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 177.1% in Q4 2023, against a decline of 37.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $46.94 million (Q1 2026), $48.24 million (Q4 2025) and $40.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Liquidia | 2.55 Bn | 1.70 Bn | 160.13 Mn | 57.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.43 Mn |
| Mar 31, 2026 | 46.94 Mn |
| Dec 31, 2025 | 48.24 Mn |
| Sep 30, 2025 | 40.06 Mn |
| Jun 30, 2025 | 38.82 Mn |
| Mar 31, 2025 | 30.06 Mn |
| Dec 31, 2024 | 21.20 Mn |
| Sep 30, 2024 | 20.18 Mn |
| Jun 30, 2024 | 19.94 Mn |
| Mar 31, 2024 | 20.25 Mn |
| Dec 31, 2023 | 17.15 Mn |
| Sep 30, 2023 | 10.56 Mn |
| Jun 30, 2023 | 9.25 Mn |
| Mar 31, 2023 | 7.79 Mn |
| Dec 31, 2022 | 6.19 Mn |
| Sep 30, 2022 | 6.74 Mn |
| Jun 30, 2022 | 6.94 Mn |
| Mar 31, 2022 | 12.54 Mn |
| Dec 31, 2021 | 8.47 Mn |
| Sep 30, 2021 | 4.88 Mn |
Liquidia Selling, General & Administrative 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=selling-general-and-administrative&ticker=LQDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();