MBX Biosciences (MBX) Cash & Equivalents (2023 - 2026)
MBX Biosciences' Cash & Equivalents came in at $54.12 million for Q2 2026, up 36.1% from $39.78 million a year earlier and up 19.7% from the prior quarter.
MBX Biosciences (MBX) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, MBX Biosciences' Cash & Equivalents was $75.29 million, up 52.6% from FY2024.
- Going back by year, Cash & Equivalents was $49.35 million in FY2024 (+61.7%) and $30.52 million in FY2023.
- The five-year range for quarterly Cash & Equivalents is $29.9 million (Q1 2025) to $223.13 million (Q3 2025).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 53.9% over the last five quarters.
- Business Quant data shows MBX's Cash & Equivalents at $45.21 million (Q1 2026), $75.29 million (Q4 2025) and $223.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 976.00 Mn |
| 10 | MBX Biosciences | 2.41 Bn | 785.21 Mn | - | 54.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.12 Mn |
| Mar 31, 2026 | 45.21 Mn |
| Dec 31, 2025 | 75.29 Mn |
| Sep 30, 2025 | 223.13 Mn |
| Jun 30, 2025 | 39.78 Mn |
| Mar 31, 2025 | 29.90 Mn |
| Dec 31, 2024 | 49.35 Mn |
| Sep 30, 2024 | 132.87 Mn |
| Dec 31, 2023 | 30.52 Mn |
MBX Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=MBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();