Agios Pharmaceuticals (AGIO) Return on Sales [ROS] (2012 - 2026)
Agios Pharmaceuticals' Return on Sales [ROS] was -247.07% in Q2 2026, up 773.05 percentage points from -1020.12% a year earlier and up 283.27 percentage points from the prior quarter.
Agios Pharmaceuticals (AGIO) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agios Pharmaceuticals' Return on Sales [ROS] was -466.78% through Jun 30, 2026, up 662.35 percentage points year-over-year; for FY2025, it came in at -873.87%, up 292.60 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a three-year change of +1858.21 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -1166.47% in FY2024 (+293.05 pp), -1459.52% in FY2023 (+1272.55 pp) and -2732.07% in FY2022.
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2020.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +364.85 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 10541.36 percentage points); the worst was Q1 2022 (a drop of 11857.79 percentage points).
- Per Business Quant data, AGIO's Return on Sales [ROS] in the three quarters before Q2 2026 was -530.34% (Q1 2026), -608.89% (Q4 2025) and -907.37% (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 | Agios Pharmaceuticals | 1.90 Bn | -940.41 Mn | 52.86 Mn | -139.32% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -139.32% |
| Jun 30, 2026 | -247.07% |
| Mar 31, 2026 | -530.34% |
| Dec 31, 2025 | -608.89% |
| Sep 30, 2025 | -907.37% |
| Jun 30, 2025 | -1,020.12% |
| Mar 31, 2025 | -1,221.97% |
| Dec 31, 2024 | -1,165.30% |
| Sep 30, 2024 | -1,146.93% |
| Jun 30, 2024 | -1,228.29% |
| Mar 31, 2024 | -1,124.34% |
| Dec 31, 2023 | -1,496.23% |
| Sep 30, 2023 | -1,363.66% |
| Jun 30, 2023 | -1,396.01% |
| Mar 31, 2023 | -1,615.49% |
| Dec 31, 2022 | -2,300.97% |
| Sep 30, 2022 | -2,590.73% |
| Jun 30, 2022 | -1,749.19% |
| Mar 31, 2022 | -12,156.85% |
| Sep 30, 2021 | -831.03% |
Agios Pharmaceuticals 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=AGIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AGIO", "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=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();