Mesa Laboratories (MLAB) Goodwill & Intangibles (2011 - 2026)
Mesa Laboratories (MLAB) posted Goodwill & Intangibles of $264.44 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.4% from $285.45 million a year earlier and down 2.1% from the prior quarter.
Mesa Laboratories (MLAB) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Goodwill & Intangibles came in at $270.21 million, down 3.0% from FY2025.
- Annual Goodwill & Intangibles has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- In prior fiscal years, Mesa Laboratories' Goodwill & Intangibles was $278.64 million in FY2025 (-5.2%), $293.85 million in FY2024 (-41.6%), $503.26 million in FY2023 (-7.0%) and $541.28 million in FY2022 (+98.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Goodwill & Intangibles since fiscal Q2 2022.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last ten quarters, with an average decline of 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q4 2022, with growth of 98.6%; the weakest was fiscal Q3 2025, with a decline of 51.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $270.21 million (Q4 2026), $278.95 million (Q3 2026) and $281.76 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 723.53 Mn | 616.51 Mn | 39.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.44 Mn |
| Mar 31, 2026 | 270.21 Mn |
| Dec 31, 2025 | 278.95 Mn |
| Sep 30, 2025 | 281.76 Mn |
| Jun 30, 2025 | 285.45 Mn |
| Mar 31, 2025 | 278.64 Mn |
| Dec 31, 2024 | 279.94 Mn |
| Sep 30, 2024 | 292.58 Mn |
| Jun 30, 2024 | 289.18 Mn |
| Mar 31, 2024 | 293.85 Mn |
| Dec 31, 2023 | 578.96 Mn |
| Sep 30, 2023 | 480.95 Mn |
| Jun 30, 2023 | 489.15 Mn |
| Mar 31, 2023 | 503.26 Mn |
| Dec 31, 2022 | 509.26 Mn |
| Sep 30, 2022 | 500.28 Mn |
| Jun 30, 2022 | 518.57 Mn |
| Mar 31, 2022 | 541.28 Mn |
| Dec 31, 2021 | 558.21 Mn |
| Sep 30, 2021 | 263.47 Mn |
Mesa Laboratories Goodwill & 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=goodwill-and-intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();