Mesa Laboratories (MLAB) Total Liabilities (2011 - 2026)
Mesa Laboratories (MLAB) reported Total Liabilities of $230.46 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.5% from $263.25 million a year earlier and down 4.6% from the prior quarter.
Powered by 
Analysis
Mesa Laboratories (MLAB) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories posted Total Liabilities of $241.5 million, down 11.7% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $273.52 million in FY2025 (-9.3%), $301.4 million in FY2024 (+12.3%), $268.35 million in FY2023 (-14.4%) and $313.57 million in FY2022 (+60.6%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q2 2022.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 8.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 60.6%); the low point was fiscal Q3 2025 (a decline of 17.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $241.5 million (Q4 2026), $248.16 million (Q3 2026) and $251.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 230.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.46 Mn |
| Mar 31, 2026 | 241.50 Mn |
| Dec 31, 2025 | 248.16 Mn |
| Sep 30, 2025 | 251.88 Mn |
| Jun 30, 2025 | 263.25 Mn |
| Mar 31, 2025 | 273.52 Mn |
| Dec 31, 2024 | 278.13 Mn |
| Sep 30, 2024 | 292.65 Mn |
| Jun 30, 2024 | 289.63 Mn |
| Mar 31, 2024 | 301.40 Mn |
| Dec 31, 2023 | 338.81 Mn |
| Sep 30, 2023 | 249.43 Mn |
| Jun 30, 2023 | 254.89 Mn |
| Mar 31, 2023 | 268.35 Mn |
| Dec 31, 2022 | 275.78 Mn |
| Sep 30, 2022 | 282.00 Mn |
| Jun 30, 2022 | 305.38 Mn |
| Mar 31, 2022 | 313.57 Mn |
| Dec 31, 2021 | 325.38 Mn |
| Sep 30, 2021 | 209.69 Mn |
API Access
Mesa Laboratories Total 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=total-liabilities&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();