D-Wave Quantum (QBTS) Non-Current Assets (2020 - 2026)
D-Wave Quantum (QBTS) reported Non-Current Assets of $597.84 million for Q2 2026, compared with $15.06 million a year earlier and up 0.9% from the prior quarter.
D-Wave Quantum (QBTS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, D-Wave Quantum posted Non-Current Assets of $19.58 million, up 32.2% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $14.81 million in FY2024 (+20.3%), $12.31 million in FY2023 (-5.5%), $13.02 million in FY2022 (-3.2%) and $13.45 million in FY2021 (+117.8%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2020.
- Year over year, Non-Current Assets gained in five of the last six quarters, with growth averaging 15.9%.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 117.8%); the low point was Q4 2023 (a decline of 5.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $592.71 million (Q1 2026), $19.58 million (Q4 2025) and $17.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 330.54 Bn | 315.61 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 271.79 Bn | 252.23 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 138.86 Bn | 124.79 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 117.29 Bn | 104.60 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 97.40 Bn | 79.04 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Okta | 36.44 Bn | 26.53 Bn | 641.00 Mn | 6.05 Bn |
| 7 | Zscaler | 34.82 Bn | 20.94 Bn | - | 2.84 Bn |
| 8 | Axon Enterprise | 32.98 Bn | 27.51 Bn | 546.45 Mn | 4.48 Bn |
| 9 | MongoDB | 29.24 Bn | 19.71 Bn | 569.77 Mn | 651.70 Mn |
| 10 | D-Wave Quantum | 5.66 Bn | 5.66 Bn | 1.70 Mn | 597.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 597.84 Mn |
| Mar 31, 2026 | 592.71 Mn |
| Dec 31, 2025 | 19.58 Mn |
| Sep 30, 2025 | 17.68 Mn |
| Jun 30, 2025 | 15.06 Mn |
| Mar 31, 2025 | 14.74 Mn |
| Dec 31, 2024 | 14.81 Mn |
| Sep 30, 2024 | 14.48 Mn |
| Jun 30, 2024 | 14.91 Mn |
| Mar 31, 2024 | 14.92 Mn |
| Dec 31, 2023 | 12.31 Mn |
| Sep 30, 2023 | 11.99 Mn |
| Jun 30, 2023 | 12.07 Mn |
| Mar 31, 2023 | 12.55 Mn |
| Dec 31, 2022 | 13.02 Mn |
| Sep 30, 2022 | 12.21 Mn |
| Jun 30, 2022 | 12.50 Mn |
| Dec 31, 2021 | 13.45 Mn |
| Dec 31, 2020 | 6.18 Mn |
D-Wave Quantum 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=QBTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "QBTS", "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=QBTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();