Mesa Laboratories (MLAB) Convertible Debt (2019 - 2024)
Mesa Laboratories (MLAB) recorded Convertible Debt of $96.9 million in fiscal Q1 2025 (quarter ended Jun 30, 2024), down 43.2% from $170.5 million a year earlier and down 43.4% from the prior quarter.
Mesa Laboratories (MLAB) Convertible Debt (2019 - 2024) Analysis & Trends
At the end of FY2024 (ended Mar 31, 2024), Mesa Laboratories reported Convertible Debt of $171.2 million, up 0.5% from FY2023.
- Annual Convertible Debt has increased for four straight fiscal years, with a four-year compound annual growth rate of 5.1% (FY2020 to FY2024).
- Across earlier fiscal years, Convertible Debt came in at $170.27 million in FY2023 (+0.5%), $169.37 million in FY2022 (+16.3%), $145.68 million in FY2021 (+3.8%) and $140.28 million in FY2020.
- The fiscal Q1 2025 figure is the lowest quarterly Convertible Debt in data going back to fiscal Q2 2020.
- On a year-over-year basis, Convertible Debt rose in seven of the last eight quarters, with an average decline of 4.9%.
- Peak year-over-year performance for Convertible Debt in the last five years was growth of 19.1% in fiscal Q1 2022, against a decline of 43.2% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $171.2 million (Q4 2024), $170.97 million (Q3 2024) and $170.73 million (Q2 2024).
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
| Date | Value |
|---|---|
| Jun 30, 2024 | 96.90 Mn |
| Mar 31, 2024 | 171.20 Mn |
| Dec 31, 2023 | 170.97 Mn |
| Sep 30, 2023 | 170.73 Mn |
| Jun 30, 2023 | 170.50 Mn |
| Mar 31, 2023 | 170.27 Mn |
| Dec 31, 2022 | 170.04 Mn |
| Sep 30, 2022 | 169.82 Mn |
| Jun 30, 2022 | 169.59 Mn |
| Mar 31, 2022 | 169.37 Mn |
| Dec 31, 2021 | 169.14 Mn |
| Sep 30, 2021 | 168.92 Mn |
| Jun 30, 2021 | 168.70 Mn |
| Mar 31, 2021 | 145.68 Mn |
| Dec 31, 2020 | 144.30 Mn |
| Sep 30, 2020 | 142.95 Mn |
| Jun 30, 2020 | 141.60 Mn |
| Mar 31, 2020 | 140.28 Mn |
| Dec 31, 2019 | 138.97 Mn |
| Sep 30, 2019 | 137.68 Mn |
Mesa Laboratories Convertible 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=convertible-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-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=convertible-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();