Mesa Laboratories (MLAB) Enterprise Value (2010 - 2026)
Mesa Laboratories' Enterprise Value was $526.36 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.9% from $497.07 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mesa Laboratories' Enterprise Value was $450.04 million through Jun 30, 2026, up 7.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $461.59 million, down 25.6% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of -14.1% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $620.02 million in FY2025 (+10.0%), $563.72 million in FY2024 (-37.7%), $905.3 million in FY2023 (-30.0%) and $1.29 billion in FY2022 (+30.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Enterprise Value since fiscal Q4 2025.
- Compared with a year earlier, Enterprise Value was higher in five of the last eight quarters, with an average decline of 3.8%.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q3 2022 (growth of 37.1%); the worst was fiscal Q2 2026 (a decline of 48.7%).
- Per Business Quant data, MLAB's Enterprise Value in the three fiscal quarters before Q1 2027 was $461.59 million (Q4 2026), $404.72 million (Q3 2026) and $348.85 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Mesa Laboratories | 730.49 Mn | 623.47 Mn | 39.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 526.36 Mn |
| Mar 31, 2026 | 461.59 Mn |
| Dec 31, 2025 | 404.72 Mn |
| Sep 30, 2025 | 348.85 Mn |
| Jun 30, 2025 | 497.07 Mn |
| Mar 31, 2025 | 620.02 Mn |
| Dec 31, 2024 | 689.21 Mn |
| Sep 30, 2024 | 679.49 Mn |
| Jun 30, 2024 | 440.88 Mn |
| Mar 31, 2024 | 563.72 Mn |
| Dec 31, 2023 | 536.91 Mn |
| Sep 30, 2023 | 530.89 Mn |
| Jun 30, 2023 | 659.50 Mn |
| Mar 31, 2023 | 905.30 Mn |
| Dec 31, 2022 | 862.49 Mn |
| Sep 30, 2022 | 719.13 Mn |
| Jun 30, 2022 | 1.04 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.30 Bn |
API Access
Mesa Laboratories Enterprise Value 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=enterprise-value&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();