Mesa Laboratories (MLAB) Accumulated Expenses (2009 - 2026)
Mesa Laboratories (MLAB) reported Accumulated Expenses of $16.54 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.9% from $16.07 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories posted Accumulated Expenses of $17.62 million, down 28.4% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $24.6 million in FY2025 (+91.3%), $12.86 million in FY2024 (+6.3%), $12.1 million in FY2023 (+4.2%) and $11.61 million in FY2022 (+16.8%).
- Five-year quarterly Accumulated Expenses spans a low of $8.84 million in fiscal Q2 2022 and a high of $24.6 million in fiscal Q4 2025.
- Year over year, Accumulated Expenses gained in four of the last eight quarters, with growth averaging 12.9%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2025 (growth of 106.3%); the low point was fiscal Q2 2026 (a decline of 37.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $17.62 million (Q4 2026), $15.55 million (Q3 2026) and $14.22 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Mesa Laboratories | 769.51 Mn | 660.60 Mn | 39.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.33 Mn |
| Jun 30, 2026 | 16.54 Mn |
| Mar 31, 2026 | 17.62 Mn |
| Dec 31, 2025 | 15.55 Mn |
| Sep 30, 2025 | 14.22 Mn |
| Jun 30, 2025 | 16.07 Mn |
| Mar 31, 2025 | 24.60 Mn |
| Dec 31, 2024 | 24.60 Mn |
| Sep 30, 2024 | 22.87 Mn |
| Jun 30, 2024 | 22.48 Mn |
| Mar 31, 2024 | 12.86 Mn |
| Dec 31, 2023 | 15.89 Mn |
| Sep 30, 2023 | 12.34 Mn |
| Jun 30, 2023 | 10.90 Mn |
| Mar 31, 2023 | 12.10 Mn |
| Dec 31, 2022 | 12.61 Mn |
| Sep 30, 2022 | 12.46 Mn |
| Jun 30, 2022 | 11.90 Mn |
| Mar 31, 2022 | 11.61 Mn |
| Dec 31, 2021 | 12.49 Mn |
API Access
Mesa Laboratories Accumulated Expenses 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=accumulated-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();