Mesa Laboratories (MLAB) Finished Goods (2012 - 2026)
Mesa Laboratories' Finished Goods came in at $10.74 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.7% from $11.39 million a year earlier but up 1.6% from the prior quarter.
Mesa Laboratories (MLAB) Finished Goods (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Finished Goods was $10.58 million, up 5.4% from FY2025.
- Finished Goods carries a five-year compound annual growth rate of 16.2% (FY2021 to FY2026).
- Going back by fiscal year, Finished Goods was $10.03 million in FY2025 (-23.3%), $13.08 million in FY2024 (-6.3%), $13.96 million in FY2023 (+132.1%) and $6.02 million in FY2022 (+20.4%).
- The five-year range for quarterly Finished Goods is $4.08 million (fiscal Q2 2022) to $15.65 million (fiscal Q3 2024).
- Year-over-year, Finished Goods increased in two of the last eight quarters, with an average decline of 9.9%.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q2 2023 (growth of 139.3%), and the weakest in fiscal Q2 2022 (a decline of 42.5%).
- Business Quant data shows MLAB's Finished Goods at $10.58 million (Q4 2026), $9.28 million (Q3 2026) and $11.43 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.74 Mn |
| Mar 31, 2026 | 10.58 Mn |
| Dec 31, 2025 | 9.28 Mn |
| Sep 30, 2025 | 11.43 Mn |
| Jun 30, 2025 | 11.39 Mn |
| Mar 31, 2025 | 10.03 Mn |
| Dec 31, 2024 | 11.14 Mn |
| Sep 30, 2024 | 11.16 Mn |
| Jun 30, 2024 | 12.05 Mn |
| Mar 31, 2024 | 13.08 Mn |
| Dec 31, 2023 | 15.65 Mn |
| Sep 30, 2023 | 12.04 Mn |
| Jun 30, 2023 | 14.55 Mn |
| Mar 31, 2023 | 13.96 Mn |
| Dec 31, 2022 | 11.65 Mn |
| Sep 30, 2022 | 9.77 Mn |
| Jun 30, 2022 | 9.71 Mn |
| Mar 31, 2022 | 6.02 Mn |
| Dec 31, 2021 | 7.80 Mn |
| Sep 30, 2021 | 4.08 Mn |
Mesa Laboratories Finished Goods 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=finished-goods&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();