Mesa Laboratories (MLAB) Amortizatization of Intangibles (2022 - 2026)
Mesa Laboratories (MLAB) posted Amortizatization of Intangibles of $4.39 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.5% from $4.55 million a year earlier and down 2.1% from the prior quarter.
Mesa Laboratories (MLAB) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Mesa Laboratories was $17.86 million, down 9.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $18.02 million, down 5.9% from FY2025.
- Annual Amortizatization of Intangibles has declined for three consecutive fiscal years, with a four-year compound annual growth rate of -4.7% (FY2022 to FY2026).
- In prior fiscal years, Mesa Laboratories' Amortizatization of Intangibles was $19.15 million in FY2025 (-30.0%), $27.34 million in FY2024 (-5.1%), $28.82 million in FY2023 (+32.2%) and $21.81 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Amortizatization of Intangibles since fiscal Q3 2025.
- On a year-over-year basis, Amortizatization of Intangibles increased in three of the last eight quarters, with an average decline of 9.4%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was fiscal Q4 2025, with growth of 23.8%; the weakest was fiscal Q3 2025, with a decline of 44.9%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior fiscal quarters was $4.49 million (Q4 2026), $4.45 million (Q3 2026) and $4.53 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 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 | 4.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.39 Mn |
| Mar 31, 2026 | 4.49 Mn |
| Dec 31, 2025 | 4.45 Mn |
| Sep 30, 2025 | 4.53 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 6.14 Mn |
| Dec 31, 2024 | 4.39 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 4.06 Mn |
| Mar 31, 2024 | 4.96 Mn |
| Dec 31, 2023 | 7.98 Mn |
| Sep 30, 2023 | 7.19 Mn |
| Jun 30, 2023 | 7.22 Mn |
| Mar 31, 2023 | 7.25 Mn |
| Dec 31, 2022 | 7.15 Mn |
Mesa Laboratories Amortizatization of 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=amortizatization-of-intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();