Standard Biotools (LAB) Receivables (2010 - 2026)
Standard Biotools' Receivables came in at $15.97 million for Q2 2026, up 6.7% from $14.96 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Standard Biotools (LAB) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Biotools' Receivables was $13.72 million, down 8.6% from FY2024.
- Receivables carries a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Going back by year, Receivables was $15 million in FY2024 (-24.9%), $19.97 million in FY2023 (+15.6%), $17.28 million in FY2022 (-5.7%) and $18.32 million in FY2021 (-27.9%).
- The five-year range for quarterly Receivables is $10.94 million (Q2 2022) to $36.01 million (Q1 2024).
- Year-over-year, Receivables increased in two of the last eight quarters, with an average decline of 10.2%.
- The fastest year-over-year change in Receivables over five years came in Q1 2024 (growth of 148.3%), and the weakest in Q3 2025 (a decline of 60.6%).
- Business Quant data shows LAB's Receivables at $16.89 million (Q1 2026), $13.72 million (Q4 2025) and $13.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Standard Biotools | 286.25 Mn | -1.03 Bn | 10.54 Mn | 15.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.97 Mn |
| Mar 31, 2026 | 16.89 Mn |
| Dec 31, 2025 | 13.72 Mn |
| Sep 30, 2025 | 13.93 Mn |
| Jun 30, 2025 | 14.96 Mn |
| Mar 31, 2025 | 35.48 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 35.34 Mn |
| Jun 30, 2024 | 32.44 Mn |
| Mar 31, 2024 | 36.01 Mn |
| Dec 31, 2023 | 19.97 Mn |
| Sep 30, 2023 | 16.56 Mn |
| Jun 30, 2023 | 15.12 Mn |
| Mar 31, 2023 | 14.50 Mn |
| Dec 31, 2022 | 17.28 Mn |
| Sep 30, 2022 | 17.29 Mn |
| Jun 30, 2022 | 10.94 Mn |
| Mar 31, 2022 | 15.42 Mn |
| Dec 31, 2021 | 18.32 Mn |
| Sep 30, 2021 | 13.73 Mn |
API Access
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();