MBody AI (MBAI) Exchange Rate Effect (2015 - 2019)
MBody AI's Exchange Rate Effect was -$11.64 million in the year ended Dec 31, 2022, compared with -$20,000 a year earlier.
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Analysis
MBody AI (MBAI) Exchange Rate Effect (2015 - 2019) Analysis & Trends
From the year ended Dec 31, 2012 onward, MBody AI has reported Exchange Rate Effect for 8 years.
- The figure for the year ended Dec 31, 2022 marks the lowest annual Exchange Rate Effect in data going back to the year ended Dec 31, 2012.
- Per Business Quant data, Exchange Rate Effect in earlier years was -$20,000 in the year ended Dec 31, 2021 and -$80,000 in the year ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 98.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 4.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 7.10 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | -14.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.80 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.00 Mn |
| 10 | MBody AI | 3.79 Mn | 3.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 27,000.00 |
| Dec 31, 2018 | -42,000.00 |
| Sep 30, 2018 | 7,000.00 |
| Jun 30, 2018 | -31,000.00 |
| Mar 31, 2018 | -14,000.00 |
| Dec 31, 2017 | 11,000.00 |
| Sep 30, 2017 | -6,000.00 |
| Jun 30, 2017 | 21,000.00 |
| Mar 31, 2017 | 138,000.00 |
| Dec 31, 2016 | -55,000.00 |
| Sep 30, 2016 | 49,000.00 |
| Mar 31, 2015 | -1,000.00 |
API Access
MBody AI Exchange Rate Effect 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=exchange-rate-effect&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();