Pyxis Oncology (PYXS) Capital Expenditures (2021 - 2024)
Pyxis Oncology (PYXS) reported Capital Expenditures of $9,000 for FY2025, down 96.2% from $237,000 in FY2024.
Powered by 
Analysis
Pyxis Oncology (PYXS) Capital Expenditures (2021 - 2024) Analysis & Trends
Dating back to FY2020, Pyxis Oncology's Capital Expenditures record includes 6 years.
- Capital Expenditures has a five-year compound annual growth rate of -64.0% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Capital Expenditures in data going back to FY2020.
- According to Business Quant data, Capital Expenditures came in at $237,000 in FY2024 (-96.5%), $6.73 million in FY2023 (+5.1%), $6.4 million in FY2022 and $540,000 in FY2021 (-63.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.08 Bn | 1,101.67 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 616.40 Bn | 534.93 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 501.19 Bn | 474.31 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 367.18 Bn | 321.56 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 235.57 Bn | 190.97 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 190.62 Bn | 164.82 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Pyxis Oncology | 114.86 Mn | -150.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 237,000.00 |
| Sep 30, 2023 | 61,000.00 |
| Jun 30, 2023 | 2.26 Mn |
| Mar 31, 2023 | 4.41 Mn |
| Dec 31, 2022 | 1.86 Mn |
| Sep 30, 2022 | 4.27 Mn |
| Jun 30, 2022 | 129,000.00 |
| Mar 31, 2022 | 146,000.00 |
| Jun 30, 2021 | 371,000.00 |
| Mar 31, 2021 | 169,000.00 |
API Access
Pyxis Oncology Capital Expenditures 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=capital-expenditures&ticker=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();