Pyxis Oncology (PYXS) Other Accumulated Expenses (2020 - 2025)
Pyxis Oncology (PYXS) recorded Other Accumulated Expenses of $4 million in Q4 2025, down 37.2% from $6.37 million a year earlier.
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Analysis
Pyxis Oncology (PYXS) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Starting with Q4 2020, Pyxis Oncology's Other Accumulated Expenses history includes 6 quarters.
- Annual Other Accumulated Expenses has declined for three straight years, though with a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $6.37 million in FY2024 (-3.5%), $6.59 million in FY2023 (-62.1%), $17.41 million in FY2022 (+631.4%) and $2.38 million in FY2021 (+234.4%).
- The Q4 2025 figure is the lowest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn |
| 10 | Pyxis Oncology | 107.83 Mn | -157.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 6.37 Mn |
| Dec 31, 2023 | 6.59 Mn |
| Dec 31, 2022 | 17.41 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Dec 31, 2020 | 712,000.00 |
API Access
Pyxis Oncology Other Accumulated 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=other-accumulated-expenses&ticker=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();