Mesa Laboratories (MLAB) Cost of Revenue (2010 - 2026)
Mesa Laboratories' Cost of Revenue came in at $21.13 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.5% from $22.6 million a year earlier and down 1.8% from the prior quarter.
Mesa Laboratories (MLAB) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mesa Laboratories reported Cost of Revenue of $89.38 million, down 2.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $90.86 million, up 0.8% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $90.11 million in FY2025 (+8.6%), $82.94 million in FY2024 (-2.9%), $85.39 million in FY2023 (+13.5%) and $75.25 million in FY2022 (+60.4%).
- The fiscal Q1 2027 figure represents the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- Year-over-year, Cost of Revenue increased in five of the last eight quarters, with an average decline of 3.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q2 2023 (growth of 226.6%), and the weakest in fiscal Q2 2025 (a decline of 44.8%).
- Business Quant data shows MLAB's Cost of Revenue at $21.52 million (Q4 2026), $23.33 million (Q3 2026) and $23.41 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Mesa Laboratories | 741.72 Mn | 634.70 Mn | 39.01 Mn | 21.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.13 Mn |
| Mar 31, 2026 | 21.52 Mn |
| Dec 31, 2025 | 23.33 Mn |
| Sep 30, 2025 | 23.41 Mn |
| Jun 30, 2025 | 22.60 Mn |
| Mar 31, 2025 | 23.72 Mn |
| Dec 31, 2024 | 23.09 Mn |
| Sep 30, 2024 | 22.38 Mn |
| Jun 30, 2024 | 20.92 Mn |
| Mar 31, 2024 | 22.35 Mn |
| Dec 31, 2023 | 20.07 Mn |
| Sep 30, 2023 | 21.06 Mn |
| Jun 30, 2023 | 19.46 Mn |
| Mar 31, 2023 | 22.39 Mn |
| Dec 31, 2022 | 21.52 Mn |
| Sep 30, 2022 | 22.36 Mn |
| Jun 30, 2022 | 19.11 Mn |
| Mar 31, 2022 | 23.77 Mn |
| Dec 31, 2021 | 26.07 Mn |
| Sep 30, 2021 | 12.70 Mn |
Mesa Laboratories Cost of Revenue 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=cost-of-revenue&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();