SOPHiA GENETICS (SOPH) Total Non-Current Liabilities (2020 - 2026)
SOPHiA GENETICS (SOPH) reported Total Non-Current Liabilities of $61.38 million for Q3 2026, down 6.8% from $65.84 million a year earlier and down 4.3% from the prior quarter.
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Analysis
SOPHiA GENETICS (SOPH) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SOPHiA GENETICS posted Total Non-Current Liabilities of $65.36 million, up 104.1% from FY2024.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $32.02 million in FY2024 (+67.7%), $19.09 million in FY2023 (+13.0%), $16.9 million in FY2022 (+4.5%) and $16.17 million in FY2021 (+61.4%).
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 69.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 125.7%); the low point was Q3 2026 (a decline of 6.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $64.16 million (Q2 2026), $64.71 million (Q1 2026) and $65.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.24 Bn |
| 10 | SOPHiA GENETICS | 482.23 Mn | 143.24 Mn | 15.93 Mn | 61.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.38 Mn |
| Jun 30, 2026 | 64.16 Mn |
| Mar 31, 2026 | 64.71 Mn |
| Dec 31, 2025 | 65.36 Mn |
| Sep 30, 2025 | 65.84 Mn |
| Jun 30, 2025 | 66.44 Mn |
| Mar 31, 2025 | 32.16 Mn |
| Dec 31, 2024 | 32.02 Mn |
| Sep 30, 2024 | 33.24 Mn |
| Jun 30, 2024 | 31.04 Mn |
| Mar 31, 2024 | 17.83 Mn |
| Dec 31, 2023 | 19.09 Mn |
| Sep 30, 2023 | 18.55 Mn |
| Jun 30, 2023 | 19.95 Mn |
| Mar 31, 2023 | 17.80 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 16.65 Mn |
| Jun 30, 2022 | 18.15 Mn |
| Mar 31, 2022 | 15.52 Mn |
| Dec 31, 2021 | 16.17 Mn |
API Access
SOPHiA GENETICS Total Non-Current 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-non-current-liabilities&ticker=SOPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();