Pyxis Oncology (PYXS) Operating Expenses (2020 - 2026)
Pyxis Oncology's Operating Expenses was $25.99 million in Q2 2026, up 15.2% from $22.57 million a year earlier.
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Analysis
Pyxis Oncology (PYXS) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pyxis Oncology's Operating Expenses was $101.35 million through Jun 30, 2026, down 7.3% year-over-year; for FY2025, it came in at $98.28 million, down 6.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 50.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $105.61 million in FY2024 (+28.5%), $82.2 million in FY2023 (-33.4%), $123.48 million in FY2022 (+77.1%) and $69.72 million in FY2021 (+440.7%).
- Quarterly Operating Expenses has moved between $11.62 million (Q3 2021) and $40.07 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last seven quarters, with growth averaging 17.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 333.0%); the worst was Q4 2023 (a decline of 53.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Pyxis Oncology | 112.79 Mn | -152.27 Mn | - | 25.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.99 Mn |
| Dec 31, 2025 | 29.33 Mn |
| Sep 30, 2025 | 23.46 Mn |
| Jun 30, 2025 | 22.57 Mn |
| Mar 31, 2025 | 22.91 Mn |
| Dec 31, 2024 | 40.07 Mn |
| Sep 30, 2024 | 23.75 Mn |
| Jun 30, 2024 | 20.03 Mn |
| Mar 31, 2024 | 21.75 Mn |
| Dec 31, 2023 | 17.77 Mn |
| Sep 30, 2023 | 25.35 Mn |
| Jun 30, 2023 | 18.12 Mn |
| Mar 31, 2023 | 20.95 Mn |
| Dec 31, 2022 | 37.97 Mn |
| Sep 30, 2022 | 28.39 Mn |
| Jun 30, 2022 | 25.73 Mn |
| Mar 31, 2022 | 31.39 Mn |
| Dec 31, 2021 | 16.43 Mn |
| Sep 30, 2021 | 11.62 Mn |
| Jun 30, 2021 | 5.94 Mn |
API Access
Pyxis Oncology Operating 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=operating-expenses&ticker=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();