Allarity Therapeutics (ALLR) Operating Expenses (2020 - 2026)
Allarity Therapeutics' Operating Expenses came in at $2.67 million for Q2 2026, down 35.4% from $4.13 million a year earlier and down 1.5% from the prior quarter.
Allarity Therapeutics (ALLR) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Allarity Therapeutics reported Operating Expenses of $11.14 million, down 58.4% year-over-year; for FY2025, it was $12.93 million, down 52.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $27.24 million in FY2024 (+59.0%), $17.13 million in FY2023 (-50.3%), $34.46 million in FY2022 (+29.8%) and $26.56 million in FY2021 (+219.2%).
- The five-year range for quarterly Operating Expenses is $2.52 million (Q3 2025) to $18.31 million (Q1 2022).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 643.7%), and the weakest in Q1 2023 (a decline of 80.0%).
- Business Quant data shows ALLR's Operating Expenses at $2.71 million (Q1 2026), $3.24 million (Q4 2025) and $2.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Allarity Therapeutics | 1.56 Mn | 1.56 Mn | - | 2.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67 Mn |
| Mar 31, 2026 | 2.71 Mn |
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 4.13 Mn |
| Mar 31, 2025 | 3.04 Mn |
| Dec 31, 2024 | 7.32 Mn |
| Sep 30, 2024 | 12.31 Mn |
| Jun 30, 2024 | 3.37 Mn |
| Mar 31, 2024 | 4.24 Mn |
| Dec 31, 2023 | 4.88 Mn |
| Sep 30, 2023 | 4.43 Mn |
| Jun 30, 2023 | 4.16 Mn |
| Mar 31, 2023 | 3.67 Mn |
| Dec 31, 2022 | 6.75 Mn |
| Sep 30, 2022 | 4.56 Mn |
| Jun 30, 2022 | 4.84 Mn |
| Mar 31, 2022 | 18.31 Mn |
| Dec 31, 2021 | 15.74 Mn |
| Sep 30, 2021 | 3.97 Mn |
Allarity Therapeutics Operating 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=operating-expenses&ticker=ALLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ALLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();