Mesa Laboratories (MLAB) EBITDA (2010 - 2026)
Mesa Laboratories (MLAB) recorded EBITDA of $12.68 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 40.5% from $9.02 million a year earlier and up 49.2% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Mesa Laboratories' EBITDA came in at $45.44 million as of Jun 30, 2026, up 17.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $41.78 million, up 2.2% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $40.86 million in FY2025, -$240.5 million in FY2024, $65.97 million in FY2023 (+27.9%) and $51.58 million in FY2022 (+71.8%).
- Quarterly EBITDA has ranged from -$264.99 million in fiscal Q4 2024 to $19.13 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last seven quarters, with growth averaging 5.7%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 342.3% in fiscal Q3 2023, against a decline of 54.0% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.5 million (Q4 2026), $13.69 million (Q3 2026) and $10.57 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 12.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.68 Mn |
| Mar 31, 2026 | 8.50 Mn |
| Dec 31, 2025 | 13.69 Mn |
| Sep 30, 2025 | 10.57 Mn |
| Jun 30, 2025 | 9.02 Mn |
| Mar 31, 2025 | 8.97 Mn |
| Dec 31, 2024 | 11.28 Mn |
| Sep 30, 2024 | 9.58 Mn |
| Jun 30, 2024 | 11.05 Mn |
| Mar 31, 2024 | -264.99 Mn |
| Dec 31, 2023 | 8.98 Mn |
| Sep 30, 2023 | 15.22 Mn |
| Jun 30, 2023 | 14.69 Mn |
| Mar 31, 2023 | 16.82 Mn |
| Dec 31, 2022 | 19.13 Mn |
| Sep 30, 2022 | 12.05 Mn |
| Jun 30, 2022 | 3.54 Mn |
| Mar 31, 2022 | 9.27 Mn |
| Dec 31, 2021 | 4.33 Mn |
| Sep 30, 2021 | 8.48 Mn |
API Access
Mesa Laboratories EBITDA 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=ebitda&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();