Mesa Laboratories (MLAB) Non-Current Assets (2011 - 2026)
Mesa Laboratories (MLAB) reported Non-Current Assets of $316.38 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.3% from $337.49 million a year earlier and down 1.6% from the prior quarter.
Mesa Laboratories (MLAB) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories posted Non-Current Assets of $321.48 million, down 2.8% from FY2025.
- Non-Current Assets has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $330.66 million in FY2025 (-2.0%), $337.44 million in FY2024 (-37.8%), $542.86 million in FY2023 (-6.9%) and $583.05 million in FY2022 (+95.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Non-Current Assets since fiscal Q2 2022.
- Year over year, Non-Current Assets has now declined in each of the last four quarters, with an average decline of 11.8% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q4 2022 (growth of 95.8%); the low point was fiscal Q3 2025 (a decline of 47.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $321.48 million (Q4 2026), $329.22 million (Q3 2026) and $332.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 316.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.38 Mn |
| Mar 31, 2026 | 321.48 Mn |
| Dec 31, 2025 | 329.22 Mn |
| Sep 30, 2025 | 332.92 Mn |
| Jun 30, 2025 | 337.49 Mn |
| Mar 31, 2025 | 330.66 Mn |
| Dec 31, 2024 | 330.66 Mn |
| Sep 30, 2024 | 346.12 Mn |
| Jun 30, 2024 | 333.67 Mn |
| Mar 31, 2024 | 337.44 Mn |
| Dec 31, 2023 | 623.41 Mn |
| Sep 30, 2023 | 519.53 Mn |
| Jun 30, 2023 | 527.80 Mn |
| Mar 31, 2023 | 542.86 Mn |
| Dec 31, 2022 | 548.80 Mn |
| Sep 30, 2022 | 539.97 Mn |
| Jun 30, 2022 | 557.68 Mn |
| Mar 31, 2022 | 583.05 Mn |
| Dec 31, 2021 | 600.72 Mn |
| Sep 30, 2021 | 289.70 Mn |
Mesa Laboratories Non-Current Assets 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=non-current-assets&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();