Silo Pharma (SILO) Return on Capital Employed [ROCE] (2018 - 2026)
Silo Pharma's Return on Capital Employed [ROCE] was -82.33% in Q2 2026, up 16.52 percentage points from -98.85% a year earlier but down 9.96 percentage points from the prior quarter.
Silo Pharma (SILO) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Silo Pharma came in at -62.42%, up 17.03 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +206.57 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -79.45% in FY2024 (-36.22 pp), -43.23% in FY2023 (-9.10 pp), -34.13% in FY2022 (+16.06 pp) and -50.19% in FY2021 (+218.80 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -98.85% (Q2 2025) and -24.16% (Q1 2022) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of -11.42 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 111.55 percentage points); the worst was Q2 2025 (a drop of 36.91 percentage points).
- Per Business Quant data, SILO's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -72.37% (Q1 2026), -67.47% (Q4 2025) and -91.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Silo Pharma | 1.69 Mn | 1.69 Mn | - | -82.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82.33% |
| Mar 31, 2026 | -72.37% |
| Dec 31, 2025 | -67.47% |
| Sep 30, 2025 | -91.35% |
| Jun 30, 2025 | -98.85% |
| Mar 31, 2025 | -89.94% |
| Dec 31, 2024 | -74.30% |
| Sep 30, 2024 | -55.89% |
| Jun 30, 2024 | -61.93% |
| Mar 31, 2024 | -60.77% |
| Dec 31, 2023 | -50.79% |
| Sep 30, 2023 | -48.66% |
| Jun 30, 2023 | -47.55% |
| Mar 31, 2023 | -36.83% |
| Dec 31, 2022 | -30.46% |
| Sep 30, 2022 | -27.14% |
| Jun 30, 2022 | -26.65% |
| Mar 31, 2022 | -24.16% |
| Dec 31, 2021 | -26.26% |
| Sep 30, 2021 | -30.25% |
Silo Pharma 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=SILO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SILO", "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=SILO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();