Idexx Laboratories (IDXX) Inventory (2009 - 2026)
Idexx Laboratories (IDXX) posted Inventory of $391.58 million for Q2 2026, down 0.3% from $392.58 million a year earlier but up 2.4% from the prior quarter.
Idexx Laboratories (IDXX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Idexx Laboratories' Inventory came in at $377.76 million, down 1.1% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In prior years, Idexx Laboratories' Inventory was $381.88 million in FY2024 (+0.4%), $380.28 million in FY2023 (+3.4%), $367.82 million in FY2022 (+36.7%) and $269.03 million in FY2021 (+28.2%).
- Quarterly Inventory has run from a low of $258.48 million in Q3 2021 to a high of $395.99 million in Q1 2025 over five years.
- On a year-over-year basis, Inventory has declined in each of the last three quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2022, with growth of 37.8%; the weakest was Q2 2024, with a decline of 3.8%.
- According to Business Quant data, Inventory for the three prior quarters was $382.4 million (Q1 2026), $377.76 million (Q4 2025) and $391.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 16.79 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 15.14 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 5.13 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 6.21 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 6.22 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 6.93 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 6.22 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 1.95 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 9.95 Bn |
| 10 | Idexx Laboratories | 40.86 Bn | 40.07 Bn | 779.09 Mn | 391.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 391.58 Mn |
| Mar 31, 2026 | 382.40 Mn |
| Dec 31, 2025 | 377.76 Mn |
| Sep 30, 2025 | 391.56 Mn |
| Jun 30, 2025 | 392.58 Mn |
| Mar 31, 2025 | 395.99 Mn |
| Dec 31, 2024 | 381.88 Mn |
| Sep 30, 2024 | 389.80 Mn |
| Jun 30, 2024 | 379.96 Mn |
| Mar 31, 2024 | 390.60 Mn |
| Dec 31, 2023 | 380.28 Mn |
| Sep 30, 2023 | 393.97 Mn |
| Jun 30, 2023 | 395.14 Mn |
| Mar 31, 2023 | 391.01 Mn |
| Dec 31, 2022 | 367.82 Mn |
| Sep 30, 2022 | 354.98 Mn |
| Jun 30, 2022 | 332.57 Mn |
| Mar 31, 2022 | 301.64 Mn |
| Dec 31, 2021 | 269.03 Mn |
| Sep 30, 2021 | 258.48 Mn |
Idexx Laboratories 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=inventory&ticker=IDXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "IDXX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=IDXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();