Pyxis Oncology (PYXS) Total Current Liabilities (2020 - 2026)
Pyxis Oncology (PYXS) posted Total Current Liabilities of $27.47 million for Q2 2026, up 55.4% from $17.68 million a year earlier.
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Analysis
Pyxis Oncology (PYXS) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Pyxis Oncology's Total Current Liabilities came in at $21.13 million, up 19.5% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 41.8% (FY2020 to FY2025).
- In prior years, Pyxis Oncology's Total Current Liabilities was $17.68 million in FY2024 (-31.4%), $25.76 million in FY2023 (-18.6%), $31.63 million in FY2022 (+69.1%) and $18.71 million in FY2021 (+407.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Current Liabilities increased in four of the last seven quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 407.1%; the weakest was Q1 2023, with a decline of 39.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Pyxis Oncology | 136.12 Mn | -60.32 Mn | - | 19.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.94 Mn |
| Jun 30, 2026 | 27.47 Mn |
| Mar 31, 2026 | 16.53 Mn |
| Dec 31, 2025 | 21.13 Mn |
| Sep 30, 2025 | 19.38 Mn |
| Jun 30, 2025 | 17.68 Mn |
| Mar 31, 2025 | 14.43 Mn |
| Dec 31, 2024 | 17.68 Mn |
| Sep 30, 2024 | 20.32 Mn |
| Jun 30, 2024 | 16.90 Mn |
| Mar 31, 2024 | 14.14 Mn |
| Dec 31, 2023 | 25.76 Mn |
| Sep 30, 2023 | 28.33 Mn |
| Jun 30, 2023 | 9.23 Mn |
| Mar 31, 2023 | 11.60 Mn |
| Dec 31, 2022 | 31.63 Mn |
| Sep 30, 2022 | 19.10 Mn |
| Jun 30, 2022 | 14.92 Mn |
| Mar 31, 2022 | 19.19 Mn |
| Dec 31, 2021 | 18.71 Mn |
API Access
Pyxis Oncology Total Current Liabilities 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=total-current-liabilities&ticker=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();