Acurx Pharmaceuticals (ACXP) Total Liabilities (2020 - 2026)
Acurx Pharmaceuticals (ACXP) posted Total Liabilities of $2.83 million for Q2 2026, up 9.3% from $2.59 million a year earlier and up 12.1% from the prior quarter.
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Analysis
Acurx Pharmaceuticals (ACXP) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Acurx Pharmaceuticals' Total Liabilities came in at $2.42 million, down 25.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- In prior years, Acurx Pharmaceuticals' Total Liabilities was $3.24 million in FY2024 (+6.6%), $3.04 million in FY2023 (+47.6%), $2.06 million in FY2022 (+144.3%) and $843,909 in FY2021 (+61.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with an average decline of 8.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 537.2%; the weakest was Q2 2022, with a decline of 75.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.53 million (Q1 2026), $2.42 million (Q4 2025) and $2.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.90 Bn | 1,102.48 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 616.46 Bn | 534.99 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.26 Bn | 474.37 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.00 Bn | 321.38 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.91 Bn | 261.90 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.82 Bn | 191.22 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.63 Bn | 164.82 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Acurx Pharmaceuticals | 4.88 Mn | -28.59 Mn | - | 2.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.83 Mn |
| Mar 31, 2026 | 2.53 Mn |
| Dec 31, 2025 | 2.42 Mn |
| Sep 30, 2025 | 2.47 Mn |
| Jun 30, 2025 | 2.59 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 3.24 Mn |
| Sep 30, 2024 | 3.32 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 3.11 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 3.22 Mn |
| Jun 30, 2023 | 3.02 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 473,879.00 |
| Mar 31, 2022 | 633,028.00 |
| Dec 31, 2021 | 843,909.00 |
| Sep 30, 2021 | 712,437.00 |
API Access
Acurx Pharmaceuticals Total 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-liabilities&ticker=ACXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ACXP", "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-liabilities&ticker=ACXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();