Mesa Laboratories (MLAB) Intangibles (2011 - 2026)
Mesa Laboratories (MLAB) recorded Intangibles of $78.4 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 19.5% from $97.4 million a year earlier and down 5.9% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories reported Intangibles of $83.35 million, down 14.0% from FY2025.
- Annual Intangibles has declined for four straight fiscal years, with a five-year compound annual growth rate of -5.7% (FY2021 to FY2026).
- Across earlier fiscal years, Intangibles came in at $96.88 million in FY2025 (-14.8%), $113.75 million in FY2024 (-47.5%), $216.82 million in FY2023 (-13.3%) and $250.12 million in FY2022 (+123.8%).
- The fiscal Q1 2027 figure is the lowest quarterly Intangibles since fiscal Q2 2020.
- On a year-over-year basis, Intangibles has declined for ten consecutive quarters, with an average decline of 23.1% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 123.8% in fiscal Q4 2022, against a decline of 57.8% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $83.35 million (Q4 2026), $89.65 million (Q3 2026) and $93.27 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 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();