Teva Pharmaceutical Industries (TEVA) Return on Sales [ROS] (2009 - 2026)
Teva Pharmaceutical Industries (TEVA) recorded Return on Sales [ROS] of -5.58% in Q2 2026, down 16.47 percentage points from 10.90% a year earlier and down 21.95 percentage points from the prior quarter.
Teva Pharmaceutical Industries (TEVA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Teva Pharmaceutical Industries' Return on Sales [ROS] came in at 9.26% as of Jun 30, 2026, up 3.88 percentage points year-over-year; for FY2025, it was 12.50%, up 14.33 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +33.94 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -1.83% in FY2024 (-4.56 pp), 2.73% in FY2023 (+17.45 pp), -14.72% in FY2022 (-25.53 pp) and 10.81% in FY2021 (+32.25 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q1 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +2.10 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 125.18 percentage points in Q3 2021, against a drop of 40.43 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.37% (Q1 2026), 6.37% (Q4 2025) and 19.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Teva Pharmaceutical Industries | 46.06 Bn | 32.91 Bn | 2.15 Bn | -5.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.58% |
| Mar 31, 2026 | 16.37% |
| Dec 31, 2025 | 6.37% |
| Sep 30, 2025 | 19.69% |
| Jun 30, 2025 | 10.90% |
| Mar 31, 2025 | 13.34% |
| Dec 31, 2024 | -0.69% |
| Sep 30, 2024 | -1.18% |
| Jun 30, 2024 | -0.12% |
| Mar 31, 2024 | -5.71% |
| Dec 31, 2023 | 16.96% |
| Sep 30, 2023 | 8.94% |
| Jun 30, 2023 | -16.86% |
| Mar 31, 2023 | -0.36% |
| Dec 31, 2022 | -24.20% |
| Sep 30, 2022 | 11.79% |
| Jun 30, 2022 | -25.54% |
| Mar 31, 2022 | -19.48% |
| Dec 31, 2021 | 1.90% |
| Sep 30, 2021 | 16.03% |
Teva Pharmaceutical Industries 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=TEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TEVA", "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=TEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();