Armata Pharmaceuticals (ARMP) Research & Development (2013 - 2026)
Armata Pharmaceuticals (ARMP) posted Research & Development of $7.59 million for Q2 2026, up 18.6% from $6.39 million a year earlier and up 24.1% from the prior quarter.
Armata Pharmaceuticals (ARMP) Research & Development (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Armata Pharmaceuticals was $25.59 million, down 14.0% year-over-year; for FY2025, it came in at $23.72 million, down 31.1% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, Armata Pharmaceuticals' Research & Development was $34.43 million in FY2024 (+1.9%), $33.77 million in FY2023 (-3.6%), $35.02 million in FY2022 (+75.0%) and $20.02 million in FY2021 (+38.6%).
- The Q2 2026 figure stands as the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in four of the last eight quarters, with an average decline of 8.4%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2022, with growth of 98.8%; the weakest was Q3 2025, with a decline of 38.6%.
- According to Business Quant data, Research & Development for the three prior quarters was $6.11 million (Q1 2026), $6.07 million (Q4 2025) and $5.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Armata Pharmaceuticals | 133.35 Mn | 81.07 Mn | - | 7.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.59 Mn |
| Mar 31, 2026 | 6.11 Mn |
| Dec 31, 2025 | 6.07 Mn |
| Sep 30, 2025 | 5.82 Mn |
| Jun 30, 2025 | 6.39 Mn |
| Mar 31, 2025 | 5.43 Mn |
| Dec 31, 2024 | 8.45 Mn |
| Sep 30, 2024 | 9.49 Mn |
| Jun 30, 2024 | 8.48 Mn |
| Mar 31, 2024 | 8.02 Mn |
| Dec 31, 2023 | 7.93 Mn |
| Sep 30, 2023 | 7.98 Mn |
| Jun 30, 2023 | 8.26 Mn |
| Mar 31, 2023 | 9.60 Mn |
| Dec 31, 2022 | 9.57 Mn |
| Sep 30, 2022 | 8.40 Mn |
| Jun 30, 2022 | 9.02 Mn |
| Mar 31, 2022 | 8.03 Mn |
| Dec 31, 2021 | 4.81 Mn |
| Sep 30, 2021 | 5.63 Mn |
Armata Pharmaceuticals Research & Development 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=research-and-development&ticker=ARMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();