China Pharma Holdings (CPHI) Return on Sales [ROS] (2009 - 2026)
China Pharma Holdings (CPHI) recorded Return on Sales [ROS] of -150.98% in Q2 2026, down 87.41 percentage points from -63.57% a year earlier and down 37.39 percentage points from the prior quarter.
China Pharma Holdings (CPHI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, China Pharma Holdings' Return on Sales [ROS] came in at -111.84% as of Jun 30, 2026, down 27.86 percentage points year-over-year; for FY2025, it came in at -78.16%, up 23.17 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -54.43 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -101.32% in FY2024 (-62.08 pp), -39.25% in FY2023 (+4.54 pp), -43.79% in FY2022 (-14.12 pp) and -29.67% in FY2021 (-5.94 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2019.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -16.69 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 86.87 percentage points in Q2 2025, against a drop of 108.88 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -113.60% (Q1 2026), -97.90% (Q4 2025) and -83.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | China Pharma Holdings | 22.69 Mn | 21.57 Mn | 83,566.00 | -150.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -150.98% |
| Mar 31, 2026 | -113.60% |
| Dec 31, 2025 | -97.90% |
| Sep 30, 2025 | -83.06% |
| Jun 30, 2025 | -63.57% |
| Mar 31, 2025 | -66.76% |
| Dec 31, 2024 | -105.47% |
| Sep 30, 2024 | -98.65% |
| Jun 30, 2024 | -150.44% |
| Mar 31, 2024 | -66.87% |
| Dec 31, 2023 | -55.10% |
| Sep 30, 2023 | -39.57% |
| Jun 30, 2023 | -41.56% |
| Mar 31, 2023 | -20.28% |
| Dec 31, 2022 | -40.02% |
| Sep 30, 2022 | -35.03% |
| Jun 30, 2022 | -48.33% |
| Mar 31, 2022 | -56.84% |
| Dec 31, 2021 | -22.45% |
| Sep 30, 2021 | -38.53% |
China Pharma Holdings 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=CPHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CPHI", "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=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();