SOPHiA GENETICS (SOPH) Enterprise Value (2021 - 2026)
SOPHiA GENETICS's Enterprise Value was $287.5 million in the quarter ended Jun 30, 2026, up 156.9% from $111.91 million a year earlier and up 5.1% from the prior quarter.
SOPHiA GENETICS (SOPH) Enterprise Value (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, SOPHiA GENETICS's Enterprise Value was $70.21 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $249.54 million, up 100.4% from the prior year.
- Enterprise Value shows a four-year compound annual growth rate of -20.8% (years ended Dec 2021 to Dec 2025).
- In earlier years, Enterprise Value was $124.5 million in the year ended Dec 31, 2024 (-14.7%), $145.93 million in the year ended Dec 31, 2023, -$77.95 million in the year ended Dec 31, 2022 and $635.07 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Enterprise Value since the quarter ended Dec 31, 2021.
- Compared with a year earlier, Enterprise Value has increased for four straight quarters, with growth averaging 50.0% over the last seven quarters.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Jun 30, 2026 (growth of 156.9%); the worst was the quarter ended Jun 30, 2025 (a decline of 36.2%).
- Per Business Quant data, SOPH's Enterprise Value in the three quarters before the quarter ended Jun 30, 2026 was $273.62 million (quarter ended Mar 31, 2026), $249.54 million (quarter ended Dec 31, 2025) and $235.82 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | SOPHiA GENETICS | 581.45 Mn | 256.49 Mn | 15.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.50 Mn |
| Mar 31, 2026 | 273.62 Mn |
| Dec 31, 2025 | 249.54 Mn |
| Sep 30, 2025 | 235.82 Mn |
| Jun 30, 2025 | 111.91 Mn |
| Mar 31, 2025 | 152.87 Mn |
| Dec 31, 2024 | 124.50 Mn |
| Sep 30, 2024 | 114.84 Mn |
| Jun 30, 2024 | 175.50 Mn |
| Mar 31, 2024 | 198.34 Mn |
| Dec 31, 2023 | 183.98 Mn |
| Sep 30, 2023 | 2.48 Mn |
| Jun 30, 2023 | 126.45 Mn |
| Mar 31, 2023 | 156.83 Mn |
| Dec 31, 2022 | -46.30 Mn |
| Sep 30, 2022 | -56.44 Mn |
| Jun 30, 2022 | 490,519.17 |
| Mar 31, 2022 | 240.05 Mn |
| Dec 31, 2021 | 635.07 Mn |
| Sep 30, 2021 | 560.11 Mn |
SOPHiA GENETICS Enterprise Value 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=enterprise-value&ticker=SOPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();