Mesa Laboratories (MLAB) Receivables (2011 - 2026)
Mesa Laboratories (MLAB) posted Receivables of $34.41 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.9% from $39.07 million a year earlier and down 22.0% from the prior quarter.
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Analysis
Mesa Laboratories (MLAB) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Mesa Laboratories' Receivables came in at $44.1 million, up 5.1% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- In prior fiscal years, Mesa Laboratories' Receivables was $41.97 million in FY2025 (+7.5%), $39.06 million in FY2024 (-8.2%), $42.55 million in FY2023 (+3.2%) and $41.22 million in FY2022 (+73.3%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Receivables since fiscal Q2 2022.
- On a year-over-year basis, Receivables increased in five of the last eight quarters, with growth averaging 4.1%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2023, with growth of 103.3%; the weakest was fiscal Q3 2024, with a decline of 15.0%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $44.1 million (Q4 2026), $40.23 million (Q3 2026) and $40.09 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Mesa Laboratories | 727.12 Mn | 620.10 Mn | 39.01 Mn | 34.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.41 Mn |
| Mar 31, 2026 | 44.10 Mn |
| Dec 31, 2025 | 40.23 Mn |
| Sep 30, 2025 | 40.09 Mn |
| Jun 30, 2025 | 39.07 Mn |
| Mar 31, 2025 | 41.97 Mn |
| Dec 31, 2024 | 41.97 Mn |
| Sep 30, 2024 | 40.23 Mn |
| Jun 30, 2024 | 35.57 Mn |
| Mar 31, 2024 | 39.06 Mn |
| Dec 31, 2023 | 36.02 Mn |
| Sep 30, 2023 | 36.34 Mn |
| Jun 30, 2023 | 35.60 Mn |
| Mar 31, 2023 | 42.55 Mn |
| Dec 31, 2022 | 42.40 Mn |
| Sep 30, 2022 | 41.81 Mn |
| Jun 30, 2022 | 41.84 Mn |
| Mar 31, 2022 | 41.22 Mn |
| Dec 31, 2021 | 37.29 Mn |
| Sep 30, 2021 | 22.64 Mn |
API Access
Mesa Laboratories Receivables 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=receivables&ticker=MLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();