Pyxis Oncology (PYXS) Selling, General & Administrative (2020 - 2026)
Pyxis Oncology (PYXS) recorded Selling, General & Administrative of $9.93 million in Q2 2026, up 82.7% from $5.44 million a year earlier.
Pyxis Oncology (PYXS) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Pyxis Oncology's Selling, General & Administrative came in at $26.26 million as of Jun 30, 2026, up 17.2% year-over-year; for FY2025, it was $22.19 million, down 12.7% from FY2024.
- Annual Selling, General & Administrative has declined for three straight years, though with a five-year compound annual growth rate of 42.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $25.42 million in FY2024 (-22.0%), $32.61 million in FY2023 (-12.7%), $37.35 million in FY2022 (+100.1%) and $18.66 million in FY2021 (+385.3%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q3 2023.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last seven quarters, with an average decline of 3.0%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 538.9% in Q4 2021, against a decline of 43.6% in Q3 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Pyxis Oncology | 108.47 Mn | -156.58 Mn | - | 9.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.93 Mn |
| Dec 31, 2025 | 5.23 Mn |
| Sep 30, 2025 | 5.65 Mn |
| Jun 30, 2025 | 5.44 Mn |
| Mar 31, 2025 | 5.87 Mn |
| Dec 31, 2024 | 5.08 Mn |
| Sep 30, 2024 | 6.01 Mn |
| Jun 30, 2024 | 6.08 Mn |
| Mar 31, 2024 | 8.25 Mn |
| Dec 31, 2023 | 6.16 Mn |
| Sep 30, 2023 | 10.67 Mn |
| Jun 30, 2023 | 6.73 Mn |
| Mar 31, 2023 | 9.05 Mn |
| Dec 31, 2022 | 8.12 Mn |
| Sep 30, 2022 | 9.36 Mn |
| Jun 30, 2022 | 8.56 Mn |
| Mar 31, 2022 | 11.32 Mn |
| Dec 31, 2021 | 9.20 Mn |
| Sep 30, 2021 | 3.77 Mn |
| Jun 30, 2021 | 2.74 Mn |
Pyxis Oncology 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=PYXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PYXS", "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=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();