Acurx Pharmaceuticals (ACXP) Receivables - Net (2023 - 2026)
Acurx Pharmaceuticals' Receivables - Net was $95,307 in Q2 2026, up 137.0% from $40,208 a year earlier and up 69.2% from the prior quarter.
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Analysis
Acurx Pharmaceuticals (ACXP) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Acurx Pharmaceuticals came in at $48,417, down 5.3% from FY2024.
- In earlier years, Receivables - Net was $51,127 in FY2024 (-60.4%) and $129,159 in FY2023.
- The Q2 2026 figure marks the highest quarterly Receivables - Net since Q3 2024.
- Compared with a year earlier, Receivables - Net was higher in 1 of the last five quarters, with an average decline of 1.7%.
- Per Business Quant data, ACXP's Receivables - Net in the three quarters before Q2 2026 was $56,313 (Q1 2026), $48,417 (Q4 2025) and $40,208 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Acurx Pharmaceuticals | 4.92 Mn | -28.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95,307.00 |
| Mar 31, 2026 | 56,313.00 |
| Dec 31, 2025 | 48,417.00 |
| Sep 30, 2025 | 40,208.00 |
| Jun 30, 2025 | 40,208.00 |
| Dec 31, 2024 | 51,127.00 |
| Sep 30, 2024 | 97,373.00 |
| Jun 30, 2024 | 51,127.00 |
| Dec 31, 2023 | 129,159.00 |
API Access
Acurx Pharmaceuticals Receivables - Net 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=receivables-net&ticker=ACXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ACXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();