Liquidia (LQDA) Change in Accrued Expenses (2020 - 2026)
Liquidia's Change in Accrued Expenses was $33.97 million in Q2 2026, up 291.3% from $8.68 million a year earlier and up 133.8% from the prior quarter.
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Analysis
Liquidia (LQDA) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Liquidia's Change in Accrued Expenses was $99.18 million through Jun 30, 2026, up 952.6% year-over-year; for FY2025, it came in at $54.54 million, up 937.0% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 213.3% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was $5.26 million in FY2024 (-32.1%), $7.75 million in FY2023, $545,000 in FY2022 (-3.2%) and $563,000 in FY2021 (+211.5%).
- The Q2 2026 figure marks the highest quarterly Change in Accrued Expenses in data going back to Q1 2020.
- Compared with a year earlier, Change in Accrued Expenses was higher in three of the last four quarters, with growth averaging 178.3%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q3 2025 (growth of 399.1%); the worst was Q4 2024 (a decline of 70.4%).
- Per Business Quant data, LQDA's Change in Accrued Expenses in the three quarters before Q2 2026 was $14.53 million (Q1 2026), $32.75 million (Q4 2025) and $17.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | - |
| 10 | Liquidia | 4.27 Bn | 3.41 Bn | 160.13 Mn | 33.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.97 Mn |
| Mar 31, 2026 | 14.53 Mn |
| Dec 31, 2025 | 32.75 Mn |
| Sep 30, 2025 | 17.92 Mn |
| Jun 30, 2025 | 8.68 Mn |
| Mar 31, 2025 | -4.82 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 3.59 Mn |
| Jun 30, 2024 | -968,000.00 |
| Mar 31, 2024 | 668,000.00 |
| Dec 31, 2023 | 6.64 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 1.82 Mn |
| Mar 31, 2023 | -2.58 Mn |
| Dec 31, 2022 | 330,000.00 |
| Sep 30, 2022 | 936,000.00 |
| Jun 30, 2022 | -791,000.00 |
| Mar 31, 2022 | 70,000.00 |
| Dec 31, 2021 | 790,000.00 |
| Sep 30, 2021 | 1.01 Mn |
API Access
Liquidia Change in Accrued 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=change-in-accured-expenses&ticker=LQDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();