Mesa Laboratories (MLAB) Change in Accured Expenses (2010 - 2026)
Mesa Laboratories (MLAB) reported Change in Accured Expenses of -$5.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$5.93 million a year earlier.
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Analysis
Mesa Laboratories (MLAB) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mesa Laboratories' Change in Accured Expenses came in at $4.13 million, down 16.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $3.5 million, down 63.2% from FY2025.
- By fiscal year, Change in Accured Expenses came in at $9.5 million in FY2025, -$1.24 million in FY2024, -$3.36 million in FY2023 and $255,000 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$5.93 million in fiscal Q1 2026 and a high of $9.55 million in fiscal Q4 2025.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2024 (growth of 149.8%); the low point was fiscal Q3 2023 (a decline of 79.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $6.95 million (Q4 2026), $5.05 million (Q3 2026) and -$2.58 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | - |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | Mesa Laboratories | 723.53 Mn | 616.51 Mn | 39.01 Mn | -5.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.30 Mn |
| Mar 31, 2026 | 6.95 Mn |
| Dec 31, 2025 | 5.05 Mn |
| Sep 30, 2025 | -2.58 Mn |
| Jun 30, 2025 | -5.93 Mn |
| Mar 31, 2025 | 9.55 Mn |
| Dec 31, 2024 | 3.82 Mn |
| Sep 30, 2024 | -2.47 Mn |
| Jun 30, 2024 | -1.39 Mn |
| Mar 31, 2024 | -1.11 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 1.47 Mn |
| Jun 30, 2023 | -3.22 Mn |
| Mar 31, 2023 | 1.86 Mn |
| Dec 31, 2022 | 648,000.00 |
| Sep 30, 2022 | -541,000.00 |
| Jun 30, 2022 | -5.33 Mn |
| Mar 31, 2022 | 1.66 Mn |
| Dec 31, 2021 | 3.19 Mn |
| Sep 30, 2021 | -5.46 Mn |
API Access
Mesa Laboratories Change in Accured 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=change-in-accured-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();