SOPHiA GENETICS (SOPH) Receivables (2020 - 2026)
SOPHiA GENETICS (SOPH) reported Receivables of $14.11 million for the quarter ended Jun 30, 2026, up 48.5% from $9.51 million a year earlier but down 1.4% from the prior quarter.
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Analysis
SOPHiA GENETICS (SOPH) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, SOPHiA GENETICS posted Receivables of $15 million, up 101.7% from the prior year.
- Receivables has a five-year compound annual growth rate of 11.1% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $7.44 million in the year ended Dec 31, 2024 (-45.2%), $13.56 million in the year ended Dec 31, 2023 (+103.9%), $6.65 million in the year ended Dec 31, 2022 (-5.8%) and $7.06 million in the year ended Dec 31, 2021 (-20.5%).
- Five-year quarterly Receivables spans a low of $6.32 million in the quarter ended Mar 31, 2022 and a high of $15 million in the quarter ended Dec 31, 2025.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 14.9% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Dec 31, 2023 (growth of 103.9%); the low point was the quarter ended Dec 31, 2024 (a decline of 45.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $14.31 million (quarter ended Mar 31, 2026), $15 million (quarter ended Dec 31, 2025) and $8.46 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | SOPHiA GENETICS | 581.45 Mn | 256.49 Mn | 15.06 Mn | 14.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.11 Mn |
| Mar 31, 2026 | 14.31 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 8.46 Mn |
| Jun 30, 2025 | 9.51 Mn |
| Mar 31, 2025 | 10.70 Mn |
| Dec 31, 2024 | 7.44 Mn |
| Sep 30, 2024 | 9.76 Mn |
| Jun 30, 2024 | 9.92 Mn |
| Mar 31, 2024 | 10.89 Mn |
| Dec 31, 2023 | 13.56 Mn |
| Sep 30, 2023 | 9.78 Mn |
| Jun 30, 2023 | 9.85 Mn |
| Mar 31, 2023 | 10.29 Mn |
| Dec 31, 2022 | 6.65 Mn |
| Sep 30, 2022 | 6.38 Mn |
| Jun 30, 2022 | 6.65 Mn |
| Mar 31, 2022 | 6.32 Mn |
| Dec 31, 2021 | 7.06 Mn |
| Sep 30, 2021 | 7.95 Mn |
API Access
SOPHiA GENETICS Receivables 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=receivables&ticker=SOPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();