Mesa Laboratories (MLAB) Non-Current Debt (2011 - 2026)
Mesa Laboratories' Non-Current Debt came in at -$250,000 for fiscal Q1 2012 (quarter ended Jun 30, 2011), compared with $4.19 million a year earlier.
Mesa Laboratories (MLAB) Non-Current Debt (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2011, Mesa Laboratories reported Non-Current Debt of $2.56 million; for FY2011 (ended Mar 31, 2011), it came in at $7 million.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Mesa Laboratories | 730.49 Mn | 623.47 Mn | 39.01 Mn | 137.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.24 Mn |
| Mar 31, 2026 | 145.86 Mn |
| Dec 31, 2025 | 160.97 Mn |
| Sep 30, 2025 | 170.16 Mn |
| Jun 30, 2025 | 79.53 Mn |
| Mar 31, 2025 | 76.90 Mn |
| Dec 31, 2024 | 76.90 Mn |
| Sep 30, 2024 | 104.20 Mn |
| Jun 30, 2024 | 111.60 Mn |
| Mar 31, 2024 | 50.50 Mn |
| Dec 31, 2023 | 62.00 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 13.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 30, 2022 | 27.00 Mn |
| Jun 30, 2022 | 47.00 Mn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 60.00 Mn |
| Jun 30, 2019 | 17.51 Mn |
| Mar 31, 2019 | 20.61 Mn |
Mesa Laboratories Non-Current Debt 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-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();