Standard Biotools (LAB) Change in Inventory (2010 - 2026)
Standard Biotools (LAB) reported Change in Inventory of -$1.25 million for Q2 2026, compared with $4.73 million a year earlier.
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Analysis
Standard Biotools (LAB) Change in Inventory (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Standard Biotools' Change in Inventory came in at -$208,000; for FY2025, it was $11.52 million, up 16.7% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Change in Inventory came in at $9.88 million in FY2024 (+101.0%), $4.91 million in FY2023 (-42.0%), $8.47 million in FY2022 (+77.1%) and $4.78 million in FY2021 (-44.6%).
- Five-year quarterly Change in Inventory spans a low of -$5.03 million in Q4 2024 and a high of $6.45 million in Q2 2024.
- Year over year, Change in Inventory gained in 1 of the last four quarters, with an average decline of 5.0%.
- The high point for year-over-year Change in Inventory in five years was Q2 2024 (growth of 656.8%); the low point was Q2 2023 (a decline of 70.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.94 million (Q1 2026), $1.17 million (Q4 2025) and $1.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 23.50 Mn |
| 10 | Standard Biotools | 286.25 Mn | -1.03 Bn | 10.54 Mn | -1.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.25 Mn |
| Mar 31, 2026 | -1.94 Mn |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 4.73 Mn |
| Mar 31, 2025 | 3.82 Mn |
| Dec 31, 2024 | -5.03 Mn |
| Sep 30, 2024 | 2.13 Mn |
| Jun 30, 2024 | 6.45 Mn |
| Mar 31, 2024 | 6.33 Mn |
| Dec 31, 2023 | 1.66 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 852,000.00 |
| Mar 31, 2023 | 1.09 Mn |
| Dec 31, 2022 | 660,000.00 |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 2.93 Mn |
| Mar 31, 2022 | 3.56 Mn |
| Dec 31, 2021 | -2.69 Mn |
| Sep 30, 2021 | -22,000.00 |
API Access
Standard Biotools Change in Inventory 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=change-in-inventory&ticker=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();