SOPHiA GENETICS (SOPH) Accumulated Expenses (2020 - 2026)
SOPHiA GENETICS (SOPH) posted Accumulated Expenses of $18.7 million for the quarter ended Jun 30, 2026, up 36.3% from $13.72 million a year earlier and up 39.2% from the prior quarter.
SOPHiA GENETICS (SOPH) Accumulated Expenses (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, SOPHiA GENETICS's Accumulated Expenses came in at $20.74 million, up 56.9% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 18.0% (years ended Dec 2020 to Dec 2025).
- In prior years, SOPHiA GENETICS's Accumulated Expenses was $13.22 million in the year ended Dec 31, 2024 (-25.8%), $17.81 million in the year ended Dec 31, 2023 (+22.8%), $14.51 million in the year ended Dec 31, 2022 (-9.2%) and $15.97 million in the year ended Dec 31, 2021 (+75.9%).
- Quarterly Accumulated Expenses has run from a low of $10.45 million in the quarter ended Mar 31, 2023 to a high of $20.74 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 14.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Dec 31, 2021, with growth of 75.9%; the weakest was the quarter ended Mar 31, 2023, with a decline of 31.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $13.44 million (quarter ended Mar 31, 2026), $20.74 million (quarter ended Dec 31, 2025) and $16.72 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 | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | SOPHiA GENETICS | 549.95 Mn | 224.99 Mn | 15.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.70 Mn |
| Mar 31, 2026 | 13.44 Mn |
| Dec 31, 2025 | 20.74 Mn |
| Sep 30, 2025 | 16.72 Mn |
| Jun 30, 2025 | 13.72 Mn |
| Mar 31, 2025 | 11.73 Mn |
| Dec 31, 2024 | 13.22 Mn |
| Sep 30, 2024 | 13.82 Mn |
| Jun 30, 2024 | 12.23 Mn |
| Mar 31, 2024 | 12.91 Mn |
| Dec 31, 2023 | 17.81 Mn |
| Sep 30, 2023 | 12.86 Mn |
| Jun 30, 2023 | 13.80 Mn |
| Mar 31, 2023 | 10.45 Mn |
| Dec 31, 2022 | 14.51 Mn |
| Sep 30, 2022 | 15.19 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 15.29 Mn |
| Dec 31, 2021 | 15.97 Mn |
| Sep 30, 2021 | 12.64 Mn |
SOPHiA GENETICS Accumulated Expenses 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=accumulated-expenses&ticker=SOPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();