Mesa Laboratories (MLAB) Land & Improvements (2018 - 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 (2018 - 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 | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 1.82 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 185.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Mesa Laboratories | 769.51 Mn | 660.60 Mn | 39.88 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 |
| Mar 31, 2019 | 889,000.00 |
| Mar 31, 2018 | 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();