MBody AI (MBAI) Receivables - Other (2014 - 2025)
MBody AI (MBAI) posted Receivables - Other of $416,000 for the quarter ended Dec 31, 2025.
Analysis
MBody AI (MBAI) Receivables - Other (2014 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2014, MBody AI has reported Receivables - Other for 8 quarters.
- Annual Receivables - Other shows a five-year compound annual growth rate of 24.0% (years ended Dec 2020 to Dec 2025).
- In prior years, MBody AI's Receivables - Other was $206,000 in the year ended Dec 31, 2021 (+45.1%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Receivables - Other in data going back to the quarter ended Dec 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn |
| 10 | MBody AI | 2.18 Mn | 1.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16,000.00 |
| Dec 31, 2023 | 44,000.00 |
| Dec 31, 2022 | 88,000.00 |
| Dec 31, 2021 | 206,000.00 |
| Dec 31, 2020 | 142,000.00 |
| Dec 31, 2018 | 178,000.00 |
| Dec 31, 2017 | 89,000.00 |
| Dec 31, 2015 | 400,000.00 |
| Dec 31, 2014 | 46,000.00 |
API Access
MBody AI Receivables - Other 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-other&ticker=MBAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "MBAI", "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-other&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();