Seres Therapeutics (MCRB) Return on Capital Employed [ROCE] (2015 - 2026)
Seres Therapeutics' Return on Capital Employed [ROCE] was -93.82% in Q2 2026, down 4.32 percentage points from -89.49% a year earlier and down 13.09 percentage points from the prior quarter.
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Analysis
Seres Therapeutics (MCRB) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Seres Therapeutics came in at -78.52%, down 20.19 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -32.44 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -58.33% in FY2024 (+18.17 pp), -76.50% in FY2023 (-8.92 pp), -67.58% in FY2022 (-43.39 pp) and -24.19% in FY2021 (+21.89 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -23.14 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2023 (a gain of 86.14 percentage points); the worst was Q3 2022 (a drop of 94.20 percentage points).
- Per Business Quant data, MCRB's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -80.73% (Q1 2026), -77.34% (Q4 2025) and -85.33% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 11.86% |
| 10 | Seres Therapeutics | 20.29 Mn | -118.55 Mn | - | -93.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -93.82% |
| Mar 31, 2026 | -80.73% |
| Dec 31, 2025 | -77.34% |
| Sep 30, 2025 | -85.33% |
| Jun 30, 2025 | -89.49% |
| Mar 31, 2025 | -94.56% |
| Dec 31, 2024 | -102.76% |
| Sep 30, 2024 | -69.85% |
| Jun 30, 2024 | -64.92% |
| Mar 31, 2024 | -26.46% |
| Dec 31, 2023 | -38.81% |
| Sep 30, 2023 | -21.88% |
| Jun 30, 2023 | -31.45% |
| Mar 31, 2023 | -79.26% |
| Dec 31, 2022 | -73.52% |
| Sep 30, 2022 | -108.02% |
| Jun 30, 2022 | -48.24% |
| Mar 31, 2022 | -33.30% |
| Dec 31, 2021 | -21.99% |
| Sep 30, 2021 | -13.83% |
API Access
Seres Therapeutics 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=MCRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MCRB", "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=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();