Mesa Laboratories (MLAB) Other Operating Expenses (2010 - 2026)
Mesa Laboratories (MLAB) recorded Other Operating Expenses of $9.87 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 9.7% from $10.93 million a year earlier and down 2.0% from the prior quarter.
Mesa Laboratories (MLAB) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Mesa Laboratories' Other Operating Expenses came in at $39.73 million as of Jun 30, 2026, down 6.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $40.79 million, down 2.1% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 239.1% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $41.68 million in FY2025 (-86.7%), $313.16 million in FY2024 (+736.4%), $37.44 million in FY2023 (+32.2%) and $28.31 million in FY2022.
- Quarterly Other Operating Expenses has ranged from $4.64 million in fiscal Q2 2022 to $284.8 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for four consecutive quarters, with an average decline of 19.1% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 314.0% in fiscal Q2 2023, against a decline of 96.0% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.08 million (Q4 2026), $9.99 million (Q3 2026) and $9.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.87 Mn |
| Mar 31, 2026 | 10.08 Mn |
| Dec 31, 2025 | 9.99 Mn |
| Sep 30, 2025 | 9.80 Mn |
| Jun 30, 2025 | 10.93 Mn |
| Mar 31, 2025 | 11.27 Mn |
| Dec 31, 2024 | 10.45 Mn |
| Sep 30, 2024 | 9.85 Mn |
| Jun 30, 2024 | 10.12 Mn |
| Mar 31, 2024 | 284.80 Mn |
| Dec 31, 2023 | 9.74 Mn |
| Sep 30, 2023 | 9.65 Mn |
| Jun 30, 2023 | 8.98 Mn |
| Mar 31, 2023 | 9.78 Mn |
| Dec 31, 2022 | 8.44 Mn |
| Sep 30, 2022 | 9.20 Mn |
| Jun 30, 2022 | 10.02 Mn |
| Mar 31, 2022 | 9.85 Mn |
| Dec 31, 2021 | 8.96 Mn |
| Sep 30, 2021 | 4.64 Mn |
Mesa Laboratories Other Operating 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-operating-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();