Cardiff Lexington (CDIX) Return on Sales [ROS] (2009 - 2026)
Cardiff Lexington's Return on Sales [ROS] was 21.03% in Q3 2025, up 64.20 percentage points from -43.16% a year earlier but down 0.83 percentage points from the prior quarter.
Cardiff Lexington (CDIX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cardiff Lexington's Return on Sales [ROS] was 17.92% through Sep 30, 2025, up 19.39 percentage points year-over-year; for FY2024, it came in at -2.34%, down 46.17 percentage points from FY2023.
- Return on Sales [ROS] shows a five-year change of +31.95 percentage points (FY2019 to FY2024).
- In earlier years, Return on Sales [ROS] was 43.83% in FY2023 (+7.29 pp), 36.54% in FY2022 (+19.71 pp), 16.82% in FY2021 (+69.07 pp) and -52.25% in FY2020 (-17.96 pp).
- Quarterly Return on Sales [ROS] has moved between -115.38% (Q4 2020) and 96.34% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -14.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 211.71 percentage points); the worst was Q3 2024 (a drop of 109.91 percentage points).
- Per Business Quant data, CDIX's Return on Sales [ROS] in the three quarters before Q3 2025 was 21.86% (Q2 2025), 18.66% (Q1 2025) and 10.64% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.37 Bn | 104.21 Bn | 17.03 Bn | 15.00% |
| 2 | Natera | 45.03 Bn | 40.66 Bn | 513.47 Mn | -8.60% |
| 3 | Labcorp Holdings | 30.12 Bn | 28.22 Bn | 1.11 Bn | 10.55% |
| 4 | Quest Diagnostics | 28.44 Bn | 26.52 Bn | 1.04 Bn | 15.47% |
| 5 | Guardant Health | 20.93 Bn | 16.54 Bn | 236.15 Mn | -36.78% |
| 6 | BrightSpring Health Services | 14.41 Bn | 11.29 Bn | 518.55 Mn | 3.81% |
| 7 | Tempus AI | 14.27 Bn | 11.42 Bn | 266.70 Mn | -13.82% |
| 8 | Encompass Health | 13.98 Bn | 14.44 Bn | 1.54 Bn | 13.86% |
| 9 | Davita | 11.35 Bn | 10.22 Bn | 1.13 Bn | 13.95% |
| 10 | Cardiff Lexington | 170,268.27 | -217.65 Bn | 1.04 Mn | -28.07% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -28.07% |
| Jun 30, 2026 | -25.22% |
| Mar 31, 2026 | -23.00% |
| Dec 31, 2025 | -25.12% |
| Sep 30, 2025 | 21.03% |
| Jun 30, 2025 | 21.86% |
| Mar 31, 2025 | 18.66% |
| Dec 31, 2024 | 10.64% |
| Sep 30, 2024 | -43.16% |
| Jun 30, 2024 | -10.84% |
| Mar 31, 2024 | 9.43% |
| Dec 31, 2023 | 17.45% |
| Sep 30, 2023 | 66.75% |
| Jun 30, 2023 | 52.00% |
| Mar 31, 2023 | 27.99% |
| Dec 31, 2022 | 42.39% |
| Sep 30, 2022 | 45.07% |
| Jun 30, 2022 | 36.32% |
| Mar 31, 2022 | 24.90% |
| Dec 31, 2021 | 96.34% |
Cardiff Lexington 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=CDIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CDIX", "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=CDIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();