Mesa Laboratories (MLAB) Total Debt (2011 - 2026)
Mesa Laboratories' Total Debt was $82.88 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 49.1% from $162.97 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Debt at Mesa Laboratories came in at $90.13 million, down 45.1% from FY2025.
- Total Debt shows a four-year compound annual growth rate of 16.5% (FY2022 to FY2026).
- In earlier fiscal years, Total Debt was $164.2 million in FY2025 (+225.1%), $50.5 million in FY2024 (+288.5%), $13 million in FY2023 (-73.5%) and $49 million in FY2022.
- The fiscal Q1 2027 figure marks the lowest quarterly Total Debt since fiscal Q1 2025.
- Compared with a year earlier, Total Debt has declined for four straight quarters, with growth averaging 49.7% over the last seven quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q4 2024 (growth of 288.5%); the worst was fiscal Q1 2024 (a decline of 89.4%).
- Per Business Quant data, MLAB's Total Debt in the three fiscal quarters before Q1 2027 was $90.13 million (Q4 2026), $103.41 million (Q3 2026) and $110.69 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 82.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.88 Mn |
| Mar 31, 2026 | 90.13 Mn |
| Dec 31, 2025 | 103.41 Mn |
| Sep 30, 2025 | 110.69 Mn |
| Jun 30, 2025 | 162.97 Mn |
| Mar 31, 2025 | 164.20 Mn |
| Dec 31, 2024 | 164.20 Mn |
| Sep 30, 2024 | 165.73 Mn |
| Jun 30, 2024 | 73.35 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 | 19.76 Mn |
| Mar 31, 2019 | 22.74 Mn |
API Access
Mesa Laboratories Total 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=total-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();