Mesa Laboratories (MLAB) Inventory (2011 - 2026)
Mesa Laboratories (MLAB) posted Inventory of $27.23 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.1% from $28.11 million a year earlier but up 3.2% from the prior quarter.
Powered by 
Analysis
Mesa Laboratories (MLAB) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Inventory came in at $26.37 million, up 4.0% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of 18.7% (FY2021 to FY2026).
- In prior fiscal years, Mesa Laboratories' Inventory was $25.37 million in FY2025 (-22.4%), $32.68 million in FY2024 (-5.7%), $34.64 million in FY2023 (+40.8%) and $24.61 million in FY2022 (+120.1%).
- Quarterly Inventory has run from a low of $12.12 million in fiscal Q2 2022 to a high of $35.97 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Inventory increased in two of the last eight quarters, with an average decline of 9.3%.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2023, with growth of 131.4%; the weakest was fiscal Q3 2025, with a decline of 29.5%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $26.37 million (Q4 2026), $26.56 million (Q3 2026) and $27.74 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 27.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.23 Mn |
| Mar 31, 2026 | 26.37 Mn |
| Dec 31, 2025 | 26.56 Mn |
| Sep 30, 2025 | 27.74 Mn |
| Jun 30, 2025 | 28.11 Mn |
| Mar 31, 2025 | 25.37 Mn |
| Dec 31, 2024 | 25.37 Mn |
| Sep 30, 2024 | 29.74 Mn |
| Jun 30, 2024 | 31.77 Mn |
| Mar 31, 2024 | 32.68 Mn |
| Dec 31, 2023 | 35.97 Mn |
| Sep 30, 2023 | 32.88 Mn |
| Jun 30, 2023 | 35.56 Mn |
| Mar 31, 2023 | 34.64 Mn |
| Dec 31, 2022 | 33.74 Mn |
| Sep 30, 2022 | 28.04 Mn |
| Jun 30, 2022 | 26.87 Mn |
| Mar 31, 2022 | 24.61 Mn |
| Dec 31, 2021 | 23.72 Mn |
| Sep 30, 2021 | 12.12 Mn |
API Access
Mesa Laboratories Inventory 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=inventory&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();