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 | 1,076.25 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 | Agios Pharmaceuticals | 1.90 Bn | 1.90 Bn | 41.75 Mn | -247.07% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Jun 30, 2021 | -450.99% |
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_KEY
import 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();