Mesa Laboratories (MLAB) Property, Plant & Equipment (Net) (2011 - 2026)
Mesa Laboratories (MLAB) recorded Property, Plant & Equipment (Net) of $30.09 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 5.1% from $31.69 million a year earlier and down 1.7% from the prior quarter.
Mesa Laboratories (MLAB) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories reported Property, Plant & Equipment (Net) of $30.61 million, down 5.3% from FY2025.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $32.33 million in FY2025 (+1.8%), $31.77 million in FY2024 (+12.8%), $28.15 million in FY2023 (-1.6%) and $28.62 million in FY2022 (+30.1%).
- The fiscal Q1 2027 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for four consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 35.2% in fiscal Q3 2022, against a decline of 6.3% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $30.61 million (Q4 2026), $31.6 million (Q3 2026) and $31.84 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Mesa Laboratories | 741.72 Mn | 634.70 Mn | 39.01 Mn | 30.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.09 Mn |
| Mar 31, 2026 | 30.61 Mn |
| Dec 31, 2025 | 31.60 Mn |
| Sep 30, 2025 | 31.84 Mn |
| Jun 30, 2025 | 31.69 Mn |
| Mar 31, 2025 | 32.33 Mn |
| Dec 31, 2024 | 32.33 Mn |
| Sep 30, 2024 | 32.07 Mn |
| Jun 30, 2024 | 31.40 Mn |
| Mar 31, 2024 | 31.77 Mn |
| Dec 31, 2023 | 31.78 Mn |
| Sep 30, 2023 | 28.57 Mn |
| Jun 30, 2023 | 27.95 Mn |
| Mar 31, 2023 | 28.15 Mn |
| Dec 31, 2022 | 28.26 Mn |
| Sep 30, 2022 | 28.22 Mn |
| Jun 30, 2022 | 28.01 Mn |
| Mar 31, 2022 | 28.62 Mn |
| Dec 31, 2021 | 30.15 Mn |
| Sep 30, 2021 | 22.39 Mn |
Mesa Laboratories Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();