Seer (SEER) Return on Sales [ROS] (2020 - 2026)
Seer (SEER) posted Return on Sales [ROS] of -542.91% for Q2 2026, down 36.12 percentage points from -506.79% a year earlier but up 74.92 percentage points from the prior quarter.
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Analysis
Seer (SEER) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Seer was -498.19%, up 48.68 percentage points year-over-year; for FY2025, it was -470.45%, up 235.97 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4658.97 percentage points (FY2020 to FY2025).
- In prior years, Seer's Return on Sales [ROS] was -706.43% in FY2024 (-85.44 pp), -620.99% in FY2023 (+6.62 pp), -627.61% in FY2022 (+452.54 pp) and -1080.14% in FY2021 (+4049.28 pp).
- Quarterly Return on Sales [ROS] has run from a low of -882.03% in Q2 2024 to a high of -413.83% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +97.70 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 25891.50 percentage points; the weakest was Q2 2024, with a drop of 184.90 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -617.83% (Q1 2026), -413.83% (Q4 2025) and -469.45% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Seer | 249.48 Mn | 249.48 Mn | 1.51 Mn | -542.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -542.91% |
| Mar 31, 2026 | -617.83% |
| Dec 31, 2025 | -413.83% |
| Sep 30, 2025 | -469.45% |
| Jun 30, 2025 | -506.79% |
| Mar 31, 2025 | -493.01% |
| Dec 31, 2024 | -587.20% |
| Sep 30, 2024 | -603.30% |
| Jun 30, 2024 | -882.03% |
| Mar 31, 2024 | -821.66% |
| Dec 31, 2023 | -500.95% |
| Sep 30, 2023 | -620.98% |
| Jun 30, 2023 | -697.13% |
| Mar 31, 2023 | -677.15% |
| Dec 31, 2022 | -541.78% |
| Sep 30, 2022 | -633.78% |
| Jun 30, 2022 | -647.17% |
| Mar 31, 2022 | -718.18% |
| Dec 31, 2021 | -648.21% |
| Sep 30, 2021 | -855.27% |
API Access
Seer Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SEER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();