SOPHiA GENETICS (SOPH) Non-Current Assets (2020 - 2026)
SOPHiA GENETICS (SOPH) posted Non-Current Assets of $59.1 million for Q3 2026, down 1.5% from $59.98 million a year earlier and down 3.2% from the prior quarter.
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Analysis
SOPHiA GENETICS (SOPH) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, SOPHiA GENETICS's Non-Current Assets came in at $63.95 million, up 14.4% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- In prior years, SOPHiA GENETICS's Non-Current Assets was $55.9 million in FY2024 (-3.8%), $58.11 million in FY2023 (+22.1%), $47.58 million in FY2022 (+27.5%) and $37.32 million in FY2021 (+66.4%).
- The Q3 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2025.
- On a year-over-year basis, Non-Current Assets increased in five of the last eight quarters, with growth averaging 3.7%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2022, with growth of 79.1%; the weakest was Q4 2024, with a decline of 3.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $61.07 million (Q2 2026), $61.18 million (Q1 2026) and $63.95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 5.14 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 559.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 237.91 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.95 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 7.18 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 9.32 Bn |
| 10 | SOPHiA GENETICS | 482.23 Mn | 143.24 Mn | 15.93 Mn | 59.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.10 Mn |
| Jun 30, 2026 | 61.07 Mn |
| Mar 31, 2026 | 61.18 Mn |
| Dec 31, 2025 | 63.95 Mn |
| Sep 30, 2025 | 59.98 Mn |
| Jun 30, 2025 | 60.59 Mn |
| Mar 31, 2025 | 56.67 Mn |
| Dec 31, 2024 | 55.90 Mn |
| Sep 30, 2024 | 60.40 Mn |
| Jun 30, 2024 | 55.34 Mn |
| Mar 31, 2024 | 55.13 Mn |
| Dec 31, 2023 | 58.11 Mn |
| Sep 30, 2023 | 52.80 Mn |
| Jun 30, 2023 | 54.64 Mn |
| Mar 31, 2023 | 49.73 Mn |
| Dec 31, 2022 | 47.58 Mn |
| Sep 30, 2022 | 42.62 Mn |
| Jun 30, 2022 | 42.63 Mn |
| Mar 31, 2022 | 37.66 Mn |
| Dec 31, 2021 | 37.32 Mn |
API Access
SOPHiA GENETICS Non-Current Assets 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=non-current-assets&ticker=SOPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();