SOPHiA GENETICS (SOPH) EBITDA Margin (2020 - 2026)
SOPHiA GENETICS's EBITDA Margin was -69.12% in Q3 2026, up 17.40 percentage points from -86.53% a year earlier and up 12.27 percentage points from the prior quarter.
SOPHiA GENETICS (SOPH) EBITDA Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, SOPHiA GENETICS's EBITDA Margin was -76.33% through Sep 30, 2026, up 10.25 percentage points year-over-year; for FY2025, it was -86.62%, up 8.50 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive years, with a five-year change of +38.84 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -95.12% in FY2024 (+16.02 pp), -111.14% in FY2023 (+65.55 pp), -176.69% in FY2022 (-6.17 pp) and -170.51% in FY2021 (-45.06 pp).
- The Q3 2026 figure marks the highest quarterly EBITDA Margin in data going back to Q3 2020.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of +9.48 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2023 (a gain of 102.30 percentage points); the worst was Q1 2022 (a drop of 71.26 percentage points).
- Per Business Quant data, SOPH's EBITDA Margin in the three quarters before Q3 2026 was -81.39% (Q2 2026), -74.71% (Q1 2026) and -80.57% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 31.34% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 2.61% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 31.78% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 10.35% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 27.01% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 32.72% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 19.93% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 22.58% |
| 10 | SOPHiA GENETICS | 482.23 Mn | 143.24 Mn | 15.93 Mn | -69.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -69.12% |
| Jun 30, 2026 | -81.39% |
| Mar 31, 2026 | -74.71% |
| Dec 31, 2025 | -80.57% |
| Sep 30, 2025 | -86.53% |
| Jun 30, 2025 | -95.78% |
| Mar 31, 2025 | -84.66% |
| Dec 31, 2024 | -79.06% |
| Sep 30, 2024 | -89.64% |
| Jun 30, 2024 | -87.78% |
| Mar 31, 2024 | -111.53% |
| Dec 31, 2023 | -92.66% |
| Sep 30, 2023 | -92.49% |
| Jun 30, 2023 | -122.61% |
| Mar 31, 2023 | -128.91% |
| Dec 31, 2022 | -104.75% |
| Sep 30, 2022 | -194.79% |
| Jun 30, 2022 | -198.29% |
| Mar 31, 2022 | -222.71% |
| Dec 31, 2021 | -183.66% |
SOPHiA GENETICS 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=SOPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SOPH", "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=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();