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 | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Seer | 249.48 Mn | 249.48 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();