Mesa Laboratories (MLAB) Other Non-Current Liabilities (2012 - 2026)
Mesa Laboratories (MLAB) recorded Other Non-Current Liabilities of $13.66 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 9.5% from $12.47 million a year earlier and up 24.6% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
Starting with fiscal Q3 2013, Mesa Laboratories' Other Non-Current Liabilities history includes 52 quarters.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 80.4% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $12.47 million in FY2025 (-20.1%), $15.61 million in FY2024 (+153.6%), $6.16 million in FY2023 (-22.3%) and $7.92 million in FY2022.
- The fiscal Q4 2026 figure is the highest quarterly Other Non-Current Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Other Non-Current Liabilities rose in three of the last eight quarters, with growth averaging 23.6%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 169.2% in fiscal Q2 2025, against a decline of 55.5% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.96 million (Q3 2026), $11.76 million (Q2 2026) and $12.66 million (Q1 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.66 Mn |
| Dec 31, 2025 | 10.96 Mn |
| Sep 30, 2025 | 11.76 Mn |
| Jun 30, 2025 | 12.66 Mn |
| Mar 31, 2025 | 12.47 Mn |
| Dec 31, 2024 | 12.47 Mn |
| Sep 30, 2024 | 14.65 Mn |
| Jun 30, 2024 | 6.58 Mn |
| Mar 31, 2024 | 15.61 Mn |
| Dec 31, 2023 | 17.32 Mn |
| Sep 30, 2023 | 5.44 Mn |
| Jun 30, 2023 | 6.76 Mn |
| Mar 31, 2023 | 6.16 Mn |
| Dec 31, 2022 | 8.17 Mn |
| Sep 30, 2022 | 6.83 Mn |
| Jun 30, 2022 | 7.34 Mn |
| Mar 31, 2022 | 7.92 Mn |
| Dec 31, 2021 | 8.33 Mn |
| Sep 30, 2021 | 436,000.00 |
| Jun 30, 2021 | 530,000.00 |
API Access
Mesa Laboratories Other Non-Current Liabilities 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-liabilities&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();