Mesa Laboratories (MLAB) Accounts Payables (2011 - 2026)
Mesa Laboratories (MLAB) posted Accounts Payables of $7.46 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 19.0% from $6.27 million a year earlier and up 51.4% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Accounts Payables came in at $4.93 million, down 14.3% from FY2025.
- Annual Accounts Payables has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- In prior fiscal years, Mesa Laboratories' Accounts Payables was $5.75 million in FY2025 (-4.9%), $6.04 million in FY2024 (-1.5%), $6.13 million in FY2023 (-22.3%) and $7.9 million in FY2022 (+76.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Accounts Payables since fiscal Q2 2023.
- On a year-over-year basis, Accounts Payables increased in four of the last eight quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q2 2022, with growth of 141.0%; the weakest was fiscal Q2 2024, with a decline of 37.8%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $4.93 million (Q4 2026), $5.25 million (Q3 2026) and $5.09 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 7.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.46 Mn |
| Mar 31, 2026 | 4.93 Mn |
| Dec 31, 2025 | 5.25 Mn |
| Sep 30, 2025 | 5.09 Mn |
| Jun 30, 2025 | 6.27 Mn |
| Mar 31, 2025 | 5.75 Mn |
| Dec 31, 2024 | 5.75 Mn |
| Sep 30, 2024 | 5.99 Mn |
| Jun 30, 2024 | 5.66 Mn |
| Mar 31, 2024 | 6.04 Mn |
| Dec 31, 2023 | 4.55 Mn |
| Sep 30, 2023 | 4.81 Mn |
| Jun 30, 2023 | 5.59 Mn |
| Mar 31, 2023 | 6.13 Mn |
| Dec 31, 2022 | 6.29 Mn |
| Sep 30, 2022 | 7.74 Mn |
| Jun 30, 2022 | 7.56 Mn |
| Mar 31, 2022 | 7.90 Mn |
| Dec 31, 2021 | 7.83 Mn |
| Sep 30, 2021 | 4.46 Mn |
API Access
Mesa Laboratories Accounts Payables 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=accounts-payables&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();