Armata Pharmaceuticals (ARMP) Return on Assets [ROA] (2014 - 2026)
Armata Pharmaceuticals' Return on Assets [ROA] came in at -50.95% for Q2 2026, down 8.90 percentage points from -42.05% a year earlier and down 0.19 percentage points from the prior quarter.
Armata Pharmaceuticals (ARMP) Return on Assets [ROA] (2014 - 2026) Analysis & Trends
For FY2025, Armata Pharmaceuticals' Return on Assets [ROA] was -44.86%, up 1.06 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of +23.44 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -45.93% in FY2024 (-1.29 pp), -44.63% in FY2023 (-0.05 pp), -44.59% in FY2022 (-0.81 pp) and -43.77% in FY2021 (+24.53 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Assets [ROA] since Q3 2021.
- Year-over-year, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -2.63 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2022 (a gain of 19.97 percentage points), and the weakest in Q3 2021 (a drop of 11.34 percentage points).
- Business Quant data shows ARMP's Return on Assets [ROA] at -50.76% (Q1 2026), -44.03% (Q4 2025) and -39.16% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | Armata Pharmaceuticals | 130.01 Mn | 77.72 Mn | - | -50.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -50.95% |
| Mar 31, 2026 | -50.76% |
| Dec 31, 2025 | -44.03% |
| Sep 30, 2025 | -39.16% |
| Jun 30, 2025 | -42.05% |
| Mar 31, 2025 | -49.40% |
| Dec 31, 2024 | -50.58% |
| Sep 30, 2024 | -45.63% |
| Jun 30, 2024 | -42.71% |
| Mar 31, 2024 | -40.24% |
| Dec 31, 2023 | -41.05% |
| Sep 30, 2023 | -39.90% |
| Jun 30, 2023 | -37.94% |
| Mar 31, 2023 | -38.58% |
| Dec 31, 2022 | -39.12% |
| Sep 30, 2022 | -33.72% |
| Jun 30, 2022 | -28.95% |
| Mar 31, 2022 | -30.64% |
| Dec 31, 2021 | -42.54% |
| Sep 30, 2021 | -53.69% |
Armata Pharmaceuticals Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ARMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "ARMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();