Mesa Laboratories (MLAB) Other Non-Current Assets (2018 - 2026)
Mesa Laboratories (MLAB) reported Other Non-Current Assets of $20.36 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.9% from $18.87 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Other Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories posted Other Non-Current Assets of $19.16 million, up 4.5% from FY2025.
- Other Non-Current Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 49.9% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Assets came in at $18.32 million in FY2025 (+73.9%), $10.54 million in FY2024 (+1.6%), $10.37 million in FY2023 (-12.3%) and $11.83 million in FY2022 (+367.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Non-Current Assets in data going back to fiscal Q1 2019.
- Year over year, Other Non-Current Assets gained in six of the last eight quarters, with growth averaging 39.0%.
- The high point for year-over-year Other Non-Current Assets in five years was fiscal Q3 2022 (growth of 551.3%); the low point was fiscal Q2 2024 (a decline of 17.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $19.16 million (Q4 2026), $17.2 million (Q3 2026) and $17.86 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 20.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.36 Mn |
| Mar 31, 2026 | 19.16 Mn |
| Dec 31, 2025 | 17.20 Mn |
| Sep 30, 2025 | 17.86 Mn |
| Jun 30, 2025 | 18.87 Mn |
| Mar 31, 2025 | 18.32 Mn |
| Dec 31, 2024 | 18.32 Mn |
| Sep 30, 2024 | 20.14 Mn |
| Jun 30, 2024 | 11.81 Mn |
| Mar 31, 2024 | 10.54 Mn |
| Dec 31, 2023 | 11.59 Mn |
| Sep 30, 2023 | 8.95 Mn |
| Jun 30, 2023 | 9.62 Mn |
| Mar 31, 2023 | 10.37 Mn |
| Dec 31, 2022 | 10.57 Mn |
| Sep 30, 2022 | 10.83 Mn |
| Jun 30, 2022 | 10.42 Mn |
| Mar 31, 2022 | 11.83 Mn |
| Dec 31, 2021 | 11.76 Mn |
| Sep 30, 2021 | 1.98 Mn |
API Access
Mesa Laboratories Other 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=other-non-current-assets&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();