MBody AI (MBAI) Other Non-Current Assets (2014 - 2023)
MBody AI (MBAI) recorded Other Non-Current Assets of $130,000 in the quarter ended Sep 30, 2023, down 63.3% from $354,000 a year earlier and down 62.9% from the prior quarter.
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Analysis
MBody AI (MBAI) Other Non-Current Assets (2014 - 2023) Analysis & Trends
As of Dec 31, 2022, MBody AI reported Other Non-Current Assets of $352,000, down 69.1% from the prior year.
- Annual Other Non-Current Assets has a five-year compound annual growth rate of 223.1% (years ended Dec 2017 to Dec 2022).
- Across earlier years, Other Non-Current Assets came in at $1.14 million in the year ended Dec 31, 2021 (+225.1%), $350,000 in the year ended Dec 31, 2020 (unchanged), $350,000 in the year ended Dec 31, 2019 (unchanged) and $350,000 in the year ended Dec 31, 2018.
- The figure for the quarter ended Sep 30, 2023 is the lowest quarterly Other Non-Current Assets since the quarter ended Dec 31, 2017.
- On a year-over-year basis, Other Non-Current Assets rose in four of the last eight quarters, with an average decline of 7.4%.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 2.0% in the quarter ended Mar 31, 2023, against a decline of 63.3% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $350,000 (quarter ended Jun 30, 2023), $357,000 (quarter ended Mar 31, 2023) and $352,000 (quarter ended Dec 31, 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | MBody AI | 3.55 Mn | 3.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 130,000.00 |
| Jun 30, 2023 | 350,000.00 |
| Mar 31, 2023 | 357,000.00 |
| Dec 31, 2022 | 352,000.00 |
| Sep 30, 2022 | 354,000.00 |
| Jun 30, 2022 | 351,000.00 |
| Mar 31, 2022 | 350,000.00 |
| Dec 31, 2021 | 350,000.00 |
| Sep 30, 2021 | 350,000.00 |
| Jun 30, 2021 | 350,000.00 |
| Mar 31, 2021 | 350,000.00 |
| Dec 31, 2020 | 350,000.00 |
| Sep 30, 2020 | 350,000.00 |
| Jun 30, 2020 | 350,000.00 |
| Mar 31, 2020 | 350,000.00 |
| Dec 31, 2019 | 350,000.00 |
| Sep 30, 2019 | 350,000.00 |
| Jun 30, 2019 | 350,000.00 |
| Mar 31, 2019 | 350,000.00 |
| Dec 31, 2018 | 350,000.00 |
API Access
MBody AI Other Non-Current Assets 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=other-non-current-assets&ticker=MBAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=MBAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();