Mesa Laboratories (MLAB) Other Accumulated Expenses (2018 - 2026)
Mesa Laboratories' Other Accumulated Expenses came in at $2.27 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 41.2% from $3.86 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Other Accumulated Expenses was $2.23 million, down 38.1% from FY2025.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $3.61 million in FY2025 (+33.7%), $2.7 million in FY2024 (+17.5%), $2.3 million in FY2023 (+4.6%) and $2.2 million in FY2022 (+9.2%).
- The five-year range for quarterly Other Accumulated Expenses is $1.39 million (fiscal Q3 2022) to $4.2 million (fiscal Q3 2024).
- Year-over-year, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 11.1%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2025 (growth of 39.4%), and the weakest in fiscal Q3 2025 (a decline of 42.5%).
- Business Quant data shows MLAB's Other Accumulated Expenses at $2.23 million (Q4 2026), $2.44 million (Q3 2026) and $2.46 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 741.72 Mn | 634.70 Mn | 39.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Mn |
| Mar 31, 2026 | 2.23 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 2.46 Mn |
| Jun 30, 2025 | 3.86 Mn |
| Mar 31, 2025 | 3.61 Mn |
| Dec 31, 2024 | 2.42 Mn |
| Sep 30, 2024 | 2.19 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 2.70 Mn |
| Dec 31, 2023 | 4.20 Mn |
| Sep 30, 2023 | 3.13 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | 2.30 Mn |
| Mar 31, 2022 | 2.20 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Mar 31, 2021 | 2.01 Mn |
| Dec 31, 2020 | 1.46 Mn |
| Sep 30, 2020 | 1.05 Mn |
| Jun 30, 2020 | 889,000.00 |
API Access
Mesa Laboratories Other 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=other-accumulated-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();