Idexx Laboratories (IDXX) Return on Sales [ROS] (2009 - 2026)
Idexx Laboratories (IDXX) reported Return on Sales [ROS] of 34.98% for Q2 2026, up 1.36 percentage points from 33.62% a year earlier and up 3.20 percentage points from the prior quarter.
Idexx Laboratories (IDXX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Idexx Laboratories' Return on Sales [ROS] came in at 32.03%, up 0.95 percentage points year-over-year; for FY2025, it came in at 31.60%, up 2.65 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +5.94 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 28.95% in FY2024 (-1.02 pp), 29.97% in FY2023 (+3.28 pp), 26.69% in FY2022 (-2.30 pp) and 28.99% in FY2021 (+3.33 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- Year over year, Return on Sales [ROS] has now increased in each of the last eight quarters, with an average year-over-year change of +1.65 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 10.58 percentage points); the low point was Q2 2022 (a drop of 10.57 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 31.78% (Q1 2026), 28.94% (Q4 2025) and 32.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 21.81% |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 28.37% |
| 10 | Idexx Laboratories | 40.86 Bn | 40.07 Bn | 779.09 Mn | 34.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.98% |
| Mar 31, 2026 | 31.78% |
| Dec 31, 2025 | 28.94% |
| Sep 30, 2025 | 32.11% |
| Jun 30, 2025 | 33.62% |
| Mar 31, 2025 | 31.70% |
| Dec 31, 2024 | 27.42% |
| Sep 30, 2024 | 31.15% |
| Jun 30, 2024 | 26.29% |
| Mar 31, 2024 | 31.01% |
| Dec 31, 2023 | 27.21% |
| Sep 30, 2023 | 30.07% |
| Jun 30, 2023 | 31.38% |
| Mar 31, 2023 | 31.15% |
| Dec 31, 2022 | 27.34% |
| Sep 30, 2022 | 29.09% |
| Jun 30, 2022 | 20.81% |
| Mar 31, 2022 | 29.69% |
| Dec 31, 2021 | 24.86% |
| Sep 30, 2021 | 27.88% |
Idexx Laboratories Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IDXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IDXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();