SOPHiA GENETICS (SOPH) Inventory (2020 - 2026)
SOPHiA GENETICS (SOPH) posted Inventory of $7.08 million for the quarter ended Jun 30, 2026, up 13.9% from $6.22 million a year earlier and unchanged from the prior quarter.
SOPHiA GENETICS (SOPH) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, SOPHiA GENETICS's Inventory came in at $6.35 million, up 8.2% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 13.4% (years ended Dec 2020 to Dec 2025).
- In prior years, SOPHiA GENETICS's Inventory was $5.87 million in the year ended Dec 31, 2024 (-9.5%), $6.48 million in the year ended Dec 31, 2023 (+25.7%), $5.16 million in the year ended Dec 31, 2022 (-10.0%) and $5.73 million in the year ended Dec 31, 2021 (+69.3%).
- Quarterly Inventory has run from a low of $4.05 million in the quarter ended Mar 31, 2023 to a high of $7.09 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last four quarters, with growth averaging 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Dec 31, 2021, with growth of 69.3%; the weakest was the quarter ended Mar 31, 2023, with a decline of 19.6%.
- According to Business Quant data, Inventory for the three prior quarters was $7.09 million (quarter ended Mar 31, 2026), $6.35 million (quarter ended Dec 31, 2025) and $6.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 57.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 185.30 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | SOPHiA GENETICS | 581.45 Mn | 256.49 Mn | 15.06 Mn | 7.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.08 Mn |
| Mar 31, 2026 | 7.09 Mn |
| Dec 31, 2025 | 6.35 Mn |
| Sep 30, 2025 | 6.68 Mn |
| Jun 30, 2025 | 6.22 Mn |
| Mar 31, 2025 | 5.05 Mn |
| Dec 31, 2024 | 5.87 Mn |
| Sep 30, 2024 | 6.48 Mn |
| Jun 30, 2024 | 6.55 Mn |
| Mar 31, 2024 | 6.02 Mn |
| Dec 31, 2023 | 6.48 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 5.46 Mn |
| Mar 31, 2023 | 4.05 Mn |
| Dec 31, 2022 | 5.16 Mn |
| Sep 30, 2022 | 5.83 Mn |
| Jun 30, 2022 | 5.76 Mn |
| Mar 31, 2022 | 5.04 Mn |
| Dec 31, 2021 | 5.73 Mn |
| Sep 30, 2021 | 4.50 Mn |
SOPHiA GENETICS Inventory 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=inventory&ticker=SOPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SOPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();