Agios Pharmaceuticals (AGIO) Return on Capital Employed [ROCE] (2013 - 2026)
Agios Pharmaceuticals' Return on Capital Employed [ROCE] came in at -42.64% for Q2 2026, down 10.66 percentage points from -31.98% a year earlier and down 2.42 percentage points from the prior quarter.
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Analysis
Agios Pharmaceuticals (AGIO) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025, Agios Pharmaceuticals' Return on Capital Employed [ROCE] was -33.77%, up 1.15 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +9.44 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -34.93% in FY2024 (+3.46 pp), -38.38% in FY2023 (-7.88 pp), -30.50% in FY2022 (+4.36 pp) and -34.86% in FY2021 (+8.35 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q2 2024.
- Year-over-year, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of +3.44 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2025 (a gain of 22.11 percentage points), and the weakest in Q2 2024 (a drop of 18.86 percentage points).
- Business Quant data shows AGIO's Return on Capital Employed [ROCE] at -40.22% (Q1 2026), -37.49% (Q4 2025) and -35.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Agios Pharmaceuticals | 1.90 Bn | -940.41 Mn | 52.86 Mn | -41.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -41.57% |
| Jun 30, 2026 | -42.64% |
| Mar 31, 2026 | -40.22% |
| Dec 31, 2025 | -37.49% |
| Sep 30, 2025 | -35.13% |
| Jun 30, 2025 | -31.98% |
| Mar 31, 2025 | -28.28% |
| Dec 31, 2024 | -25.86% |
| Sep 30, 2024 | -34.99% |
| Jun 30, 2024 | -54.10% |
| Mar 31, 2024 | -46.68% |
| Dec 31, 2023 | -43.29% |
| Sep 30, 2023 | -38.91% |
| Jun 30, 2023 | -35.23% |
| Mar 31, 2023 | -32.92% |
| Dec 31, 2022 | -33.92% |
| Sep 30, 2022 | -33.94% |
| Jun 30, 2022 | -31.69% |
| Mar 31, 2022 | -28.96% |
| Dec 31, 2021 | -26.47% |
API Access
Agios Pharmaceuticals Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AGIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();