Idexx Laboratories (IDXX) EBT (2009 - 2026)
Idexx Laboratories (IDXX) posted EBT of $417.22 million for Q2 2026, up 15.1% from $362.35 million a year earlier and up 17.4% from the prior quarter.
Idexx Laboratories (IDXX) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Idexx Laboratories was $1.42 billion, up 16.0% year-over-year; for FY2025, it was $1.32 billion, up 19.3% from FY2024.
- Annual EBT has increased for three consecutive years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In prior years, Idexx Laboratories' EBT was $1.11 billion in FY2024 (+4.6%), $1.06 billion in FY2023 (+23.4%), $859.97 million in FY2022 (-4.7%) and $902.65 million in FY2021 (+36.4%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q2 2009.
- On a year-over-year basis, EBT has increased in each of the last eight quarters, with growth averaging 16.0% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q2 2023, with growth of 67.1%; the weakest was Q2 2022, with a decline of 32.0%.
- According to Business Quant data, EBT for the three prior quarters was $355.44 million (Q1 2026), $306.98 million (Q4 2025) and $344.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 9.25 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 6.75 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 4.28 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | -683.00 Mn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 4.27 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 2.80 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 2.77 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | -10.25 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | -653.00 Mn |
| 10 | Idexx Laboratories | 40.86 Bn | 40.07 Bn | 779.09 Mn | 417.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 417.22 Mn |
| Mar 31, 2026 | 355.44 Mn |
| Dec 31, 2025 | 306.98 Mn |
| Sep 30, 2025 | 344.77 Mn |
| Jun 30, 2025 | 362.35 Mn |
| Mar 31, 2025 | 310.08 Mn |
| Dec 31, 2024 | 256.39 Mn |
| Sep 30, 2024 | 298.91 Mn |
| Jun 30, 2024 | 259.06 Mn |
| Mar 31, 2024 | 295.48 Mn |
| Dec 31, 2023 | 239.67 Mn |
| Sep 30, 2023 | 267.89 Mn |
| Jun 30, 2023 | 285.93 Mn |
| Mar 31, 2023 | 267.69 Mn |
| Dec 31, 2022 | 213.22 Mn |
| Sep 30, 2022 | 234.18 Mn |
| Jun 30, 2022 | 171.08 Mn |
| Mar 31, 2022 | 241.49 Mn |
| Dec 31, 2021 | 191.88 Mn |
| Sep 30, 2021 | 218.95 Mn |
Idexx Laboratories EBT 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=ebt&ticker=IDXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=IDXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();