MBX Biosciences (MBX) Receivables - Accured (2023 - 2026)
MBX Biosciences' Receivables - Accured came in at $3.04 million for Q2 2026, up 261.8% from $841,000 a year earlier but down 3.6% from the prior quarter.
Powered by 
Analysis
MBX Biosciences (MBX) Receivables - Accured (2023 - 2026) Analysis & Trends
At the end of FY2025, MBX Biosciences' Receivables - Accured was $2.12 million, up 210.9% from FY2024.
- Going back by year, Receivables - Accured was $682,000 in FY2024 (+227.9%) and $208,000 in FY2023.
- The five-year range for quarterly Receivables - Accured is $208,000 (Q4 2023) to $3.16 million (Q1 2026).
- Year-over-year, Receivables - Accured has increased for four consecutive quarters, with growth averaging 181.8% over the last five quarters.
- Business Quant data shows MBX's Receivables - Accured at $3.16 million (Q1 2026), $2.12 million (Q4 2025) and $1.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Accured (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | - |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | - |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | - |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | - |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | MBX Biosciences | 2.57 Bn | 2.57 Bn | - | 3.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 Mn |
| Mar 31, 2026 | 3.16 Mn |
| Dec 31, 2025 | 2.12 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 841,000.00 |
| Mar 31, 2025 | 1.39 Mn |
| Dec 31, 2024 | 682,000.00 |
| Sep 30, 2024 | 858,000.00 |
| Dec 31, 2023 | 208,000.00 |
API Access
MBX Biosciences Receivables - Accured 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-accured&ticker=MBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-accured", "ticker": "MBX", "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-accured&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();