Mesa Laboratories (MLAB) Payables (2011 - 2026)
Mesa Laboratories (MLAB) recorded Payables of $7.46 million in 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.
Powered by 
Analysis
Mesa Laboratories (MLAB) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories reported Payables of $4.93 million, down 14.3% from FY2025.
- Annual Payables has declined for four straight fiscal years, though with a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $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 is the highest quarterly Payables since fiscal Q2 2023.
- On a year-over-year basis, Payables rose in four of the last eight quarters, with growth averaging 4.7%.
- Peak year-over-year performance for Payables in the last five years was growth of 141.0% in fiscal Q2 2022, against a decline of 37.8% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $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) | 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 | 5.89 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 | 2.00 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 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=payables&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();