Mesa Laboratories (MLAB) Asset Writedowns and Impairment (2017 - 2019)
Mesa Laboratories (MLAB) reported Asset Writedowns and Impairment of $274.53 million for FY2024 (year ended Mar 31, 2024).
Powered by 
Analysis
Mesa Laboratories (MLAB) Asset Writedowns and Impairment (2017 - 2019) Analysis & Trends
Dating back to FY2012, Mesa Laboratories' Asset Writedowns and Impairment record includes 5 fiscal years.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 124.9% (FY2019 to FY2024).
- The FY2024 figure ranks as the highest annual Asset Writedowns and Impairment in data going back to FY2012.
- According to Business Quant data, Asset Writedowns and Impairment came in at $298,000 in FY2020 (-93.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 741.72 Mn | 634.70 Mn | 39.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 276,000.00 |
| Mar 31, 2019 | 1.11 Mn |
| Dec 31, 2018 | 3.67 Mn |
| Dec 31, 2017 | 13.82 Mn |
API Access
Mesa Laboratories Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MLAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();