Mesa Laboratories (MLAB) Return on Sales [ROS] (2010 - 2026)
Mesa Laboratories (MLAB) reported Return on Sales [ROS] of 11.69% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.55 percentage points from 5.15% a year earlier and up 7.38 percentage points from the prior quarter.
Mesa Laboratories (MLAB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mesa Laboratories' Return on Sales [ROS] came in at 9.00%, up 3.30 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 7.43%, up 0.65 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -1.80 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 6.78% in FY2025 (+132.63 pp), -125.85% in FY2024 (-127.37 pp), 1.52% in FY2023 (-1.04 pp) and 2.55% in FY2022 (-6.68 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -460.55% in fiscal Q4 2024 and a high of 12.25% in fiscal Q3 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of +61.06 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2025 (a gain of 462.92 percentage points); the low point was fiscal Q4 2024 (a drop of 461.48 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 4.31% (Q4 2026), 12.25% (Q3 2026) and 7.78% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Mesa Laboratories | 723.53 Mn | 616.51 Mn | 39.01 Mn | 11.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.69% |
| Mar 31, 2026 | 4.31% |
| Dec 31, 2025 | 12.25% |
| Sep 30, 2025 | 7.78% |
| Jun 30, 2025 | 5.15% |
| Mar 31, 2025 | 2.36% |
| Dec 31, 2024 | 9.20% |
| Sep 30, 2024 | 6.07% |
| Jun 30, 2024 | 9.59% |
| Mar 31, 2024 | -460.55% |
| Dec 31, 2023 | -0.13% |
| Sep 30, 2023 | -0.11% |
| Jun 30, 2023 | -1.31% |
| Mar 31, 2023 | 0.93% |
| Dec 31, 2022 | 6.27% |
| Sep 30, 2022 | 6.80% |
| Jun 30, 2022 | -9.11% |
| Mar 31, 2022 | -0.19% |
| Dec 31, 2021 | -4.59% |
| Sep 30, 2021 | 11.72% |
Mesa Laboratories Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();