Mesa Laboratories (MLAB) Land & Improvements (2022 - 2026)
Mesa Laboratories (MLAB) reported Land & Improvements of $889,000 for fiscal Q4 2026 (quarter ended Mar 31, 2026), unchanged from $889,000 a year earlier.
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Analysis
Mesa Laboratories (MLAB) Land & Improvements (2022 - 2026) Analysis & Trends
Dating back to fiscal Q4 2022, Mesa Laboratories' Land & Improvements record includes 5 quarters.
- Land & Improvements has a four-year compound annual growth rate of 0.0% (FY2022 to FY2026).
- By fiscal year, Land & Improvements came in at $889,000 in FY2025 (unchanged), $889,000 in FY2024 (unchanged), $889,000 in FY2023 (unchanged) and $889,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 1.81 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 183.00 Mn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 889,000.00 |
| Mar 31, 2025 | 889,000.00 |
| Mar 31, 2024 | 889,000.00 |
| Mar 31, 2023 | 889,000.00 |
| Mar 31, 2022 | 889,000.00 |
API Access
Mesa Laboratories Land & Improvements 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=land-and-improvements&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();