D-Wave Quantum (QBTS) Total Non-Current Liabilities (2021 - 2025)
D-Wave Quantum's Total Non-Current Liabilities came in at $63.58 million for Q4 2025, down 5.6% from $67.33 million a year earlier but up 17.1% from the prior quarter.
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Analysis
D-Wave Quantum (QBTS) Total Non-Current Liabilities (2021 - 2025) Analysis & Trends
Going back to Q4 2021, D-Wave Quantum's Total Non-Current Liabilities data covers 16 quarters.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 7.4% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $67.33 million in FY2024 (-18.1%), $82.21 million in FY2023 (+50.8%), $54.52 million in FY2022 (+14.0%) and $47.81 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $47.81 million (Q4 2021) to $83.33 million (Q3 2023).
- Year-over-year, Total Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 9.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2023 (growth of 63.4%), and the weakest in Q1 2025 (a decline of 35.7%).
- Business Quant data shows QBTS's Total Non-Current Liabilities at $54.3 million (Q3 2025), $58.31 million (Q2 2025) and $52.28 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 330.54 Bn | 315.61 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.79 Bn | 252.23 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 138.86 Bn | 124.79 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 117.29 Bn | 104.60 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 97.40 Bn | 79.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 36.44 Bn | 26.53 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Zscaler | 34.82 Bn | 20.94 Bn | - | 5.20 Bn |
| 8 | Axon Enterprise | 32.98 Bn | 27.51 Bn | 546.45 Mn | 3.68 Bn |
| 9 | MongoDB | 29.24 Bn | 19.71 Bn | 569.77 Mn | 770.18 Mn |
| 10 | D-Wave Quantum | 5.66 Bn | 5.66 Bn | 1.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 63.58 Mn |
| Sep 30, 2025 | 54.30 Mn |
| Jun 30, 2025 | 58.31 Mn |
| Mar 31, 2025 | 52.28 Mn |
| Dec 31, 2024 | 67.33 Mn |
| Sep 30, 2024 | 64.87 Mn |
| Jun 30, 2024 | 81.24 Mn |
| Mar 31, 2024 | 81.28 Mn |
| Dec 31, 2023 | 82.21 Mn |
| Sep 30, 2023 | 83.33 Mn |
| Jun 30, 2023 | 73.04 Mn |
| Mar 31, 2023 | 56.87 Mn |
| Dec 31, 2022 | 54.52 Mn |
| Sep 30, 2022 | 50.98 Mn |
| Jun 30, 2022 | 76.45 Mn |
| Dec 31, 2021 | 47.81 Mn |
API Access
D-Wave Quantum 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=QBTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=QBTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();