D-Wave Quantum (QBTS) Total Liabilities (2020 - 2026)
D-Wave Quantum (QBTS) recorded Total Liabilities of $75.32 million in Q2 2026, down 49.6% from $149.35 million a year earlier and down 0.3% from the prior quarter.
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Analysis
D-Wave Quantum (QBTS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, D-Wave Quantum reported Total Liabilities of $63.58 million, down 53.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $137.21 million in FY2024 (+63.7%), $83.84 million in FY2023 (+48.6%), $56.41 million in FY2022 (+18.0%) and $47.82 million in FY2021 (+218.4%).
- Quarterly Total Liabilities has ranged from $47.82 million in Q4 2021 to $195.27 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with growth averaging 26.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 218.4% in Q4 2021, against a decline of 53.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.56 million (Q1 2026), $63.58 million (Q4 2025) and $195.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 330.54 Bn | 315.61 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 271.79 Bn | 252.23 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 138.86 Bn | 124.79 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 117.29 Bn | 104.60 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 97.40 Bn | 79.04 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Okta | 36.44 Bn | 26.53 Bn | 641.00 Mn | 2.17 Bn |
| 7 | Zscaler | 34.82 Bn | 20.94 Bn | - | 5.27 Bn |
| 8 | Axon Enterprise | 32.98 Bn | 27.51 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 29.24 Bn | 19.71 Bn | 569.77 Mn | 797.71 Mn |
| 10 | D-Wave Quantum | 5.66 Bn | 5.66 Bn | 1.70 Mn | 75.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.32 Mn |
| Mar 31, 2026 | 75.56 Mn |
| Dec 31, 2025 | 63.58 Mn |
| Sep 30, 2025 | 195.27 Mn |
| Jun 30, 2025 | 149.35 Mn |
| Mar 31, 2025 | 118.21 Mn |
| Dec 31, 2024 | 137.21 Mn |
| Sep 30, 2024 | 66.48 Mn |
| Jun 30, 2024 | 83.33 Mn |
| Mar 31, 2024 | 85.56 Mn |
| Dec 31, 2023 | 83.84 Mn |
| Sep 30, 2023 | 85.30 Mn |
| Jun 30, 2023 | 76.44 Mn |
| Mar 31, 2023 | 58.12 Mn |
| Dec 31, 2022 | 56.41 Mn |
| Sep 30, 2022 | 56.48 Mn |
| Jun 30, 2022 | 76.45 Mn |
| Dec 31, 2021 | 47.82 Mn |
| Dec 31, 2020 | 15.02 Mn |
API Access
D-Wave Quantum Total 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-liabilities&ticker=QBTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=QBTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();