Teva Pharmaceutical Industries (TEVA) Return on Sales [ROS] (2009 - 2026)
Teva Pharmaceutical Industries (TEVA) recorded Return on Sales [ROS] of 16.25% in Q3 2026, down 3.44 percentage points from 19.69% a year earlier but up 21.82 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 8.33% as of Sep 30, 2026, down 2.56 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).
- Quarterly Return on Sales [ROS] has ranged from -25.54% in Q2 2022 to 19.69% in Q3 2025 over the past five years.
- 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 +2.93 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 41.16 percentage points in Q4 2023, 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 -5.58% (Q2 2026), 16.37% (Q1 2026) and 6.37% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 32.98% |
| 10 | Teva Pharmaceutical Industries | 49.58 Bn | 34.55 Bn | 2.44 Bn | 16.25% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.25% |
| 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% |
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();