Mesa Laboratories (MLAB) Cash & Equivalents (2010 - 2026)
Mesa Laboratories' Cash & Equivalents was $30.7 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.3% from $21.28 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Mesa Laboratories came in at $26.93 million, down 1.4% from FY2025.
- Cash & Equivalents has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -36.6% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $27.32 million in FY2025 (-3.2%), $28.21 million in FY2024 (-14.3%), $32.91 million in FY2023 (-33.3%) and $49.35 million in FY2022 (-81.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q2 2024.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 3.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2027 (growth of 44.3%); the worst was fiscal Q2 2023 (a decline of 88.4%).
- Per Business Quant data, MLAB's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $26.93 million (Q4 2026), $28.98 million (Q3 2026) and $20.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 30.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.70 Mn |
| Mar 31, 2026 | 26.93 Mn |
| Dec 31, 2025 | 28.98 Mn |
| Sep 30, 2025 | 20.42 Mn |
| Jun 30, 2025 | 21.28 Mn |
| Mar 31, 2025 | 27.32 Mn |
| Dec 31, 2024 | 27.32 Mn |
| Sep 30, 2024 | 24.34 Mn |
| Jun 30, 2024 | 28.47 Mn |
| Mar 31, 2024 | 28.21 Mn |
| Dec 31, 2023 | 28.22 Mn |
| Sep 30, 2023 | 35.62 Mn |
| Jun 30, 2023 | 32.38 Mn |
| Mar 31, 2023 | 32.91 Mn |
| Dec 31, 2022 | 26.10 Mn |
| Sep 30, 2022 | 32.38 Mn |
| Jun 30, 2022 | 43.75 Mn |
| Mar 31, 2022 | 49.35 Mn |
| Dec 31, 2021 | 51.71 Mn |
| Sep 30, 2021 | 278.29 Mn |
API Access
Mesa Laboratories Cash & Equivalents 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=cash-and-equivalents&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();