Mesa Laboratories (MLAB) EBIT (2010 - 2026)
Mesa Laboratories (MLAB) reported EBIT of $7.03 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 129.5% from $3.06 million a year earlier and up 155.9% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mesa Laboratories' EBIT came in at $22.48 million, up 62.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $18.51 million, up 13.3% from FY2025.
- EBIT has a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $16.34 million in FY2025, -$272.08 million in FY2024, $3.32 million in FY2023 (-29.4%) and $4.7 million in FY2022 (-62.0%).
- Five-year quarterly EBIT spans a low of -$271.28 million in fiscal Q4 2024 and a high of $7.98 million in fiscal Q3 2026.
- Year over year, EBIT has now increased in each of the last four quarters, with growth averaging 48.8% over the last five quarters.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.75 million (Q4 2026), $7.98 million (Q3 2026) and $4.72 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 2.26 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 1.36 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.25 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 592.60 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 1.03 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 828.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 299.10 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Mesa Laboratories | 770.99 Mn | 663.97 Mn | 39.01 Mn | 7.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.03 Mn |
| Mar 31, 2026 | 2.75 Mn |
| Dec 31, 2025 | 7.98 Mn |
| Sep 30, 2025 | 4.72 Mn |
| Jun 30, 2025 | 3.06 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 5.78 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 5.58 Mn |
| Mar 31, 2024 | -271.28 Mn |
| Dec 31, 2023 | -67,000.00 |
| Sep 30, 2023 | -60,000.00 |
| Jun 30, 2023 | -664,000.00 |
| Mar 31, 2023 | 517,000.00 |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | -4.59 Mn |
| Mar 31, 2022 | -110,000.00 |
| Dec 31, 2021 | -2.51 Mn |
| Sep 30, 2021 | 4.20 Mn |
API Access
Mesa Laboratories EBIT 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=ebit&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();