Mesa Laboratories (MLAB) Depreciation and Depletion (2011 - 2026)
Mesa Laboratories' Depreciation and Depletion came in at $1.25 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 10.8% from $1.4 million a year earlier and down 0.9% from the prior quarter.
Mesa Laboratories (MLAB) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mesa Laboratories reported Depreciation and Depletion of $5.1 million, down 5.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $5.25 million, down 2.4% from FY2025.
- Depreciation and Depletion carries a five-year compound annual growth rate of 12.2% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $5.38 million in FY2025 (+27.1%), $4.23 million in FY2024 (-1.9%), $4.31 million in FY2023 (+32.2%) and $3.26 million in FY2022 (+10.2%).
- The fiscal Q1 2027 figure represents the lowest quarterly Depreciation and Depletion since fiscal Q3 2025.
- Year-over-year, Depreciation and Depletion increased in four of the last eight quarters, with growth averaging 6.9%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q2 2025 (growth of 66.6%), and the weakest in fiscal Q2 2026 (a decline of 13.4%).
- Business Quant data shows MLAB's Depreciation and Depletion at $1.27 million (Q4 2026), $1.27 million (Q3 2026) and $1.32 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 122.00 Mn |
| 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 | 1.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 1.11 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | 911,000.00 |
| Jun 30, 2023 | 914,000.00 |
| Mar 31, 2023 | 1.12 Mn |
| Sep 30, 2020 | 207,000.00 |
| Mar 31, 2020 | 2.17 Mn |
| Jun 30, 2012 | 203,000.00 |
| Jun 30, 2011 | 165,000.00 |
Mesa Laboratories Depreciation and Depletion 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=depreciation-and-depletion&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();