Mesa Laboratories (MLAB) Intangibles (2011 - 2026)
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Analysis
Mesa Laboratories (MLAB) Intangibles (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 18.08 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 19.59 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 21.05 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.21 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 5.54 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 6.86 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Mesa Laboratories | 770.99 Mn | 663.97 Mn | 39.01 Mn | 78.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.40 Mn |
| Mar 31, 2026 | 83.35 Mn |
| Dec 31, 2025 | 89.65 Mn |
| Sep 30, 2025 | 93.27 Mn |
| Jun 30, 2025 | 97.40 Mn |
| Mar 31, 2025 | 96.88 Mn |
| Dec 31, 2024 | 98.18 Mn |
| Sep 30, 2024 | 108.82 Mn |
| Jun 30, 2024 | 109.46 Mn |
| Mar 31, 2024 | 113.75 Mn |
| Dec 31, 2023 | 232.77 Mn |
| Sep 30, 2023 | 197.68 Mn |
| Jun 30, 2023 | 205.39 Mn |
| Mar 31, 2023 | 216.82 Mn |
| Dec 31, 2022 | 223.45 Mn |
| Sep 30, 2022 | 222.27 Mn |
| Jun 30, 2022 | 235.00 Mn |
| Mar 31, 2022 | 250.12 Mn |
| Dec 31, 2021 | 264.67 Mn |
| Sep 30, 2021 | 103.49 Mn |
API Access
Mesa Laboratories Intangibles 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=intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();