Mesa Laboratories (MLAB) Selling, General & Administrative (2009 - 2026)
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Analysis
Mesa Laboratories (MLAB) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 2.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.27 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.16 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.31 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 560.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.26 Bn |
| 10 | Mesa Laboratories | 769.51 Mn | 660.60 Mn | 39.88 Mn | 16.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.61 Mn |
| Jun 30, 2026 | 17.38 Mn |
| Mar 31, 2026 | 24.13 Mn |
| Dec 31, 2025 | 18.81 Mn |
| Sep 30, 2025 | 17.76 Mn |
| Jun 30, 2025 | 17.96 Mn |
| Mar 31, 2025 | 20.58 Mn |
| Dec 31, 2024 | 18.47 Mn |
| Sep 30, 2024 | 17.46 Mn |
| Jun 30, 2024 | 16.82 Mn |
| Mar 31, 2024 | 17.84 Mn |
| Dec 31, 2023 | 19.44 Mn |
| Sep 30, 2023 | 17.53 Mn |
| Jun 30, 2023 | 18.06 Mn |
| Mar 31, 2023 | 17.90 Mn |
| Dec 31, 2022 | 16.13 Mn |
| Sep 30, 2022 | 18.20 Mn |
| Jun 30, 2022 | 20.21 Mn |
| Mar 31, 2022 | 20.19 Mn |
| Dec 31, 2021 | 17.02 Mn |
API Access
Mesa Laboratories Selling, General & Administrative 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=selling-general-and-administrative&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();