Seer (SEER) EBITDA Margin (2020 - 2026)
Seer's EBITDA Margin was -494.91% in Q2 2026, down 26.23 percentage points from -468.67% a year earlier but up 68.25 percentage points from the prior quarter.
Seer (SEER) EBITDA Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seer's EBITDA Margin was -456.14% through Jun 30, 2026, up 51.91 percentage points year-over-year; for FY2025, it came in at -433.63%, up 229.21 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +4450.97 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -662.84% in FY2024 (-75.33 pp), -587.51% in FY2023 (+14.65 pp), -602.16% in FY2022 (+439.32 pp) and -1041.48% in FY2021 (+3843.12 pp).
- Quarterly EBITDA Margin has moved between -833.14% (Q2 2024) and -377.96% (Q4 2025) over five years.
- Compared with a year earlier, EBITDA Margin was higher in five of the last eight quarters, with an average year-over-year change of +98.44 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2022 (a gain of 25140.50 percentage points); the worst was Q2 2024 (a drop of 168.54 percentage points).
- Per Business Quant data, SEER's EBITDA Margin in the three quarters before Q2 2026 was -563.16% (Q1 2026), -377.96% (Q4 2025) and -434.14% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | Seer | 225.08 Mn | 225.08 Mn | 1.51 Mn | -494.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -494.91% |
| Mar 31, 2026 | -563.16% |
| Dec 31, 2025 | -377.96% |
| Sep 30, 2025 | -434.14% |
| Jun 30, 2025 | -468.67% |
| Mar 31, 2025 | -455.01% |
| Dec 31, 2024 | -547.00% |
| Sep 30, 2024 | -564.31% |
| Jun 30, 2024 | -833.14% |
| Mar 31, 2024 | -772.93% |
| Dec 31, 2023 | -465.34% |
| Sep 30, 2023 | -586.26% |
| Jun 30, 2023 | -664.60% |
| Mar 31, 2023 | -646.34% |
| Dec 31, 2022 | -517.83% |
| Sep 30, 2022 | -606.90% |
| Jun 30, 2022 | -622.29% |
| Mar 31, 2022 | -691.76% |
| Dec 31, 2021 | -620.94% |
| Sep 30, 2021 | -823.71% |
Seer EBITDA Margin 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=ebitda-margin&ticker=SEER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SEER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();