Altimmune (ALT) Operating Expenses (2010 - 2026)
Altimmune's Operating Expenses came in at $26.23 million for Q2 2026, up 14.4% from $22.93 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Altimmune (ALT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Altimmune reported Operating Expenses of $100.26 million, up 6.2% year-over-year; for FY2025, it came in at $94.53 million, down 8.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $103.19 million in FY2024 (+7.1%), $96.36 million in FY2023 (+9.9%), $87.67 million in FY2022 (-13.5%) and $101.32 million in FY2021 (+60.9%).
- The five-year range for quarterly Operating Expenses is $18.01 million (Q2 2023) to $33.66 million (Q4 2023).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 108.7%), and the weakest in Q4 2024 (a decline of 26.1%).
- Business Quant data shows ALT's Operating Expenses at $24.24 million (Q1 2026), $28.92 million (Q4 2025) and $20.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Altimmune | 411.69 Mn | -730.54 Mn | - | 26.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.23 Mn |
| Mar 31, 2026 | 24.24 Mn |
| Dec 31, 2025 | 28.92 Mn |
| Sep 30, 2025 | 20.86 Mn |
| Jun 30, 2025 | 22.93 Mn |
| Mar 31, 2025 | 21.82 Mn |
| Dec 31, 2024 | 24.87 Mn |
| Sep 30, 2024 | 24.77 Mn |
| Jun 30, 2024 | 26.75 Mn |
| Mar 31, 2024 | 26.80 Mn |
| Dec 31, 2023 | 33.66 Mn |
| Sep 30, 2023 | 22.90 Mn |
| Jun 30, 2023 | 18.01 Mn |
| Mar 31, 2023 | 21.78 Mn |
| Dec 31, 2022 | 22.98 Mn |
| Sep 30, 2022 | 24.75 Mn |
| Jun 30, 2022 | 20.40 Mn |
| Mar 31, 2022 | 19.53 Mn |
| Dec 31, 2021 | 27.26 Mn |
| Sep 30, 2021 | 33.36 Mn |
API Access
Altimmune 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=ALT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALT", "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=ALT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();