Mesa Laboratories (MLAB) Price to Earnings (2011 - 2026)
Mesa Laboratories' Price to Earnings came in at 116.05 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 59.5% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Mesa Laboratories' Price to Earnings was 72.78.
- Going back by fiscal year, Price to Earnings was 1008.82 in FY2023 (+40.6%) and 717.32 in FY2022 (+87.6%).
- The five-year range for quarterly Price to Earnings is 72.78 (fiscal Q4 2026) to 1416.38 (fiscal Q3 2024).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.05 |
| Mar 31, 2026 | 72.78 |
| Dec 31, 2025 | 116.15 |
| Dec 31, 2023 | 596.13 |
| Jun 30, 2023 | 380.36 |
| Mar 31, 2023 | 1,008.82 |
| Mar 31, 2022 | 717.32 |
| Dec 31, 2021 | 227.16 |
| Sep 30, 2021 | 310.09 |
| Jun 30, 2021 | 347.92 |
| Mar 31, 2021 | 382.32 |
| Mar 31, 2020 | 557.87 |
| Dec 31, 2019 | 230.35 |
| Sep 30, 2019 | 102.82 |
| Jun 30, 2019 | 121.05 |
| Mar 31, 2019 | 119.81 |
| Dec 31, 2018 | 77.81 |
| Sep 30, 2017 | 52.43 |
| Jun 30, 2017 | 50.01 |
| Mar 31, 2017 | 40.90 |
API Access
Mesa Laboratories Price to Earnings 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=price-to-earnings&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();