Atossa Therapeutics (ATOS) Accumulated Expenses (2011 - 2026)
Atossa Therapeutics' Accumulated Expenses came in at $1.38 million for Q2 2026, down 37.3% from $2.2 million a year earlier and down 50.8% from the prior quarter.
Atossa Therapeutics (ATOS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Atossa Therapeutics' Accumulated Expenses was $1.31 million, up 42.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 69.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $919,000 in FY2024 (-5.5%), $973,000 in FY2023 (-8.1%), $1.06 million in FY2022 (+419.1%) and $204,000 in FY2021 (+119.4%).
- The five-year range for quarterly Accumulated Expenses is $75,695 (Q3 2021) to $2.81 million (Q1 2026).
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 16.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2023 (growth of 977.8%), and the weakest in Q2 2026 (a decline of 37.3%).
- Business Quant data shows ATOS's Accumulated Expenses at $2.81 million (Q1 2026), $1.31 million (Q4 2025) and $1.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Atossa Therapeutics | 21.38 Mn | -98.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.30 Mn |
| Jun 30, 2026 | 1.38 Mn |
| Mar 31, 2026 | 2.81 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 1.99 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 1.79 Mn |
| Dec 31, 2024 | 919,000.00 |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 1.61 Mn |
| Dec 31, 2023 | 973,000.00 |
| Sep 30, 2023 | 1.26 Mn |
| Jun 30, 2023 | 803,000.00 |
| Mar 31, 2023 | 613,000.00 |
| Dec 31, 2022 | 1.06 Mn |
| Sep 30, 2022 | 117,000.00 |
| Jun 30, 2022 | 834,000.00 |
| Mar 31, 2022 | 120,000.00 |
| Dec 31, 2021 | 204,000.00 |
Atossa Therapeutics Accumulated 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=accumulated-expenses&ticker=ATOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ATOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ATOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();