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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn |
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 |
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_KEY
import 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();