Seer (SEER) Return on Capital Employed [ROCE] (2021 - 2026)
Seer (SEER) reported Return on Capital Employed [ROCE] of -27.98% for Q2 2026, down 0.41 percentage points from -27.57% a year earlier and down 0.77 percentage points from the prior quarter.
Seer (SEER) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Seer posted Return on Capital Employed [ROCE] of -24.71%, up 1.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a four-year change of -9.73 percentage points (FY2021 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -25.93% in FY2024 (-2.88 pp), -23.05% in FY2023 (-3.64 pp), -19.41% in FY2022 (-4.44 pp) and -14.97% in FY2021.
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -27.98% in Q3 2025 and a high of -12.36% in Q3 2021.
- Year over year, Return on Capital Employed [ROCE] gained in two of the last eight quarters, with an average year-over-year change of -1.56 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2025 (a gain of 0.62 percentage points); the low point was Q2 2022 (a drop of 6.63 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -27.21% (Q1 2026), -27.21% (Q4 2025) and -27.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 11.59% |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 6.00% |
| 10 | Seer | 90.08 Mn | -614.57 Mn | 1.51 Mn | -27.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.98% |
| Mar 31, 2026 | -27.21% |
| Dec 31, 2025 | -27.21% |
| Sep 30, 2025 | -27.98% |
| Jun 30, 2025 | -27.57% |
| Mar 31, 2025 | -27.82% |
| Dec 31, 2024 | -27.83% |
| Sep 30, 2024 | -25.97% |
| Jun 30, 2024 | -25.26% |
| Mar 31, 2024 | -24.31% |
| Dec 31, 2023 | -24.21% |
| Sep 30, 2023 | -24.10% |
| Jun 30, 2023 | -23.36% |
| Mar 31, 2023 | -21.53% |
| Dec 31, 2022 | -20.19% |
| Sep 30, 2022 | -18.63% |
| Jun 30, 2022 | -16.88% |
| Mar 31, 2022 | -15.09% |
| Dec 31, 2021 | -13.74% |
| Sep 30, 2021 | -12.36% |
Seer 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=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SEER", "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=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();