Armata Pharmaceuticals (ARMP) Selling, General & Administrative (2013 - 2026)
Armata Pharmaceuticals (ARMP) reported Selling, General & Administrative of $5.24 million for Q2 2026, up 99.9% from $2.62 million a year earlier and up 51.2% from the prior quarter.
Armata Pharmaceuticals (ARMP) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Armata Pharmaceuticals' Selling, General & Administrative came in at $15.24 million, up 22.5% year-over-year; for FY2025, it came in at $12.41 million, down 5.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $13.18 million in FY2024 (+13.2%), $11.65 million in FY2023 (+56.6%), $7.44 million in FY2022 (-10.2%) and $8.28 million in FY2021 (+4.0%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2013.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 9.9% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 129.5%); the low point was Q2 2025 (a decline of 23.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.46 million (Q1 2026), $3.43 million (Q4 2025) and $3.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Armata Pharmaceuticals | 122.58 Mn | 70.29 Mn | - | 5.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.24 Mn |
| Mar 31, 2026 | 3.46 Mn |
| Dec 31, 2025 | 3.43 Mn |
| Sep 30, 2025 | 3.11 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 3.25 Mn |
| Dec 31, 2024 | 3.32 Mn |
| Sep 30, 2024 | 3.24 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | 3.18 Mn |
| Dec 31, 2023 | 3.18 Mn |
| Sep 30, 2023 | 3.58 Mn |
| Jun 30, 2023 | 2.35 Mn |
| Mar 31, 2023 | 2.54 Mn |
| Dec 31, 2022 | 1.81 Mn |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 2.08 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | 2.22 Mn |
| Sep 30, 2021 | 1.77 Mn |
Armata Pharmaceuticals Selling, General & Administrative 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=selling-general-and-administrative&ticker=ARMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();