SOPHiA GENETICS (SOPH) Cost of Revenue (2020 - 2026)
SOPHiA GENETICS (SOPH) recorded Cost of Revenue of $8.33 million in Q3 2026, up 27.1% from $6.56 million a year earlier and up 1.0% from the prior quarter.
SOPHiA GENETICS (SOPH) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, SOPHiA GENETICS's Cost of Revenue came in at $30.54 million as of Sep 30, 2026, up 28.2% year-over-year; for FY2025, it was $25.19 million, up 18.6% from FY2024.
- Annual Cost of Revenue has increased for six straight years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $21.24 million in FY2024 (+9.1%), $19.46 million in FY2023 (+19.3%), $16.31 million in FY2022 (+7.1%) and $15.23 million in FY2021 (+42.2%).
- The Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to Q2 2020.
- On a year-over-year basis, Cost of Revenue has increased for 15 consecutive quarters, with growth averaging 21.5% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 39.5% in Q4 2021, against a decline of 8.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.25 million (Q2 2026), $6.94 million (Q1 2026) and $7.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.79 Bn | 22.03 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 24.67 Bn | 21.44 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 22.46 Bn | 21.28 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 20.00 Bn | 12.65 Bn | 543.00 Mn | 1.44 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 131.89 Mn |
| 7 | Bentley Systems | 14.19 Bn | 13.67 Bn | 349.55 Mn | 71.96 Mn |
| 8 | Trimble | 12.77 Bn | 11.85 Bn | 659.10 Mn | 307.70 Mn |
| 9 | Costar | 12.56 Bn | 7.95 Bn | 741.00 Mn | 211.00 Mn |
| 10 | SOPHiA GENETICS | 503.85 Mn | 164.85 Mn | 15.93 Mn | 8.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.33 Mn |
| Jun 30, 2026 | 8.25 Mn |
| Mar 31, 2026 | 6.94 Mn |
| Dec 31, 2025 | 7.02 Mn |
| Sep 30, 2025 | 6.56 Mn |
| Jun 30, 2025 | 6.05 Mn |
| Mar 31, 2025 | 5.57 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 5.20 Mn |
| Jun 30, 2024 | 5.03 Mn |
| Mar 31, 2024 | 5.37 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 5.03 Mn |
| Jun 30, 2023 | 5.01 Mn |
| Mar 31, 2023 | 4.27 Mn |
| Dec 31, 2022 | 3.75 Mn |
| Sep 30, 2022 | 4.36 Mn |
| Jun 30, 2022 | 4.05 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 4.11 Mn |
SOPHiA GENETICS Cost of Revenue 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=cost-of-revenue&ticker=SOPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();