SOPHiA GENETICS (SOPH) Total Liabilities (2020 - 2026)
SOPHiA GENETICS's Total Liabilities came in at $116.3 million for Q3 2026, up 13.2% from $102.77 million a year earlier and up 0.9% from the prior quarter.
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Analysis
SOPHiA GENETICS (SOPH) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SOPHiA GENETICS's Total Liabilities was $115.89 million, up 97.0% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $58.82 million in FY2024 (+7.5%), $54.71 million in FY2023 (+25.2%), $43.71 million in FY2022 (-2.4%) and $44.77 million in FY2021 (+41.7%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year-over-year, Total Liabilities has increased for 15 consecutive quarters, with growth averaging 46.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2025 (growth of 97.0%), and the weakest in Q4 2022 (a decline of 2.4%).
- Business Quant data shows SOPH's Total Liabilities at $115.24 million (Q2 2026), $111.31 million (Q1 2026) and $115.89 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.27 Bn |
| 10 | SOPHiA GENETICS | 482.23 Mn | 143.24 Mn | 15.93 Mn | 116.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.30 Mn |
| Jun 30, 2026 | 115.24 Mn |
| Mar 31, 2026 | 111.31 Mn |
| Dec 31, 2025 | 115.89 Mn |
| Sep 30, 2025 | 102.77 Mn |
| Jun 30, 2025 | 100.93 Mn |
| Mar 31, 2025 | 61.11 Mn |
| Dec 31, 2024 | 58.82 Mn |
| Sep 30, 2024 | 64.10 Mn |
| Jun 30, 2024 | 59.65 Mn |
| Mar 31, 2024 | 48.03 Mn |
| Dec 31, 2023 | 54.71 Mn |
| Sep 30, 2023 | 47.41 Mn |
| Jun 30, 2023 | 51.50 Mn |
| Mar 31, 2023 | 47.15 Mn |
| Dec 31, 2022 | 43.71 Mn |
| Sep 30, 2022 | 44.70 Mn |
| Jun 30, 2022 | 49.11 Mn |
| Mar 31, 2022 | 45.64 Mn |
| Dec 31, 2021 | 44.77 Mn |
API Access
SOPHiA GENETICS Total Liabilities 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=total-liabilities&ticker=SOPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();