Mesa Laboratories (MLAB) Research & Development (2010 - 2026)
Mesa Laboratories' Research & Development was $4.73 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.2% from $4.98 million a year earlier and down 9.9% from the prior quarter.
Mesa Laboratories (MLAB) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mesa Laboratories' Research & Development was $20.05 million through Jun 30, 2026, up 1.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $20.31 million, up 4.0% from FY2025.
- Research & Development shows a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $19.52 million in FY2025 (+1.1%), $19.3 million in FY2024 (-5.8%), $20.49 million in FY2023 (+30.0%) and $15.77 million in FY2022 (+51.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Research & Development since fiscal Q2 2025.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with an average decline of 3.2%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q2 2023 (growth of 309.1%); the worst was fiscal Q2 2025 (a decline of 52.7%).
- Per Business Quant data, MLAB's Research & Development in the three fiscal quarters before Q1 2027 was $5.25 million (Q4 2026), $5.03 million (Q3 2026) and $5.05 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 4.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.73 Mn |
| Mar 31, 2026 | 5.25 Mn |
| Dec 31, 2025 | 5.03 Mn |
| Sep 30, 2025 | 5.05 Mn |
| Jun 30, 2025 | 4.98 Mn |
| Mar 31, 2025 | 5.10 Mn |
| Dec 31, 2024 | 5.05 Mn |
| Sep 30, 2024 | 4.63 Mn |
| Jun 30, 2024 | 4.74 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 4.29 Mn |
| Sep 30, 2023 | 4.99 Mn |
| Jun 30, 2023 | 4.81 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 4.80 Mn |
| Sep 30, 2022 | 4.99 Mn |
| Jun 30, 2022 | 5.70 Mn |
| Mar 31, 2022 | 5.18 Mn |
| Dec 31, 2021 | 5.16 Mn |
| Sep 30, 2021 | 2.61 Mn |
Mesa Laboratories Research & Development 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=research-and-development&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();