D-Wave Quantum (QBTS) Other Operating Expenses (2021 - 2026)
D-Wave Quantum's Other Operating Expenses came in at $39.41 million for Q2 2026, up 103.7% from $19.35 million a year earlier and up 9.4% from the prior quarter.
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Analysis
D-Wave Quantum (QBTS) Other Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, D-Wave Quantum reported Other Operating Expenses of $118.39 million, up 90.1% year-over-year; for FY2025, it came in at $79.48 million, up 58.2% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $50.23 million in FY2024 (+4.4%), $48.12 million in FY2023 (+14.3%), $42.1 million in FY2022 (+34.5%) and $31.31 million in FY2021 (+31.1%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2021.
- Year-over-year, Other Operating Expenses has increased for nine consecutive quarters, with growth averaging 60.0% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2026 (growth of 112.5%), and the weakest in Q4 2023 (a decline of 23.4%).
- Business Quant data shows QBTS's Other Operating Expenses at $36.04 million (Q1 2026), $21.94 million (Q4 2025) and $21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 274.48 Bn | 259.55 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 255.01 Bn | 235.42 Bn | 1.10 Bn |
| 3 | Snowflake | 106.72 Bn | 94.04 Bn | 1.04 Bn |
| 4 | Fortinet | 99.50 Bn | 99.50 Bn | - |
| 5 | Datadog | 84.07 Bn | 65.71 Bn | 881.34 Mn |
| 6 | Zscaler | 38.06 Bn | 24.18 Bn | - |
| 7 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 34.46 Bn | 28.98 Bn | 546.45 Mn |
| 9 | MongoDB | 28.25 Bn | 18.72 Bn | 569.77 Mn |
| 10 | D-Wave Quantum | 3.92 Bn | 1.07 Bn | 1.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.36 Mn |
| Mar 31, 2026 | 10.48 Mn |
| Dec 31, 2025 | 8.25 Mn |
| Sep 30, 2025 | 6.95 Mn |
| Jun 30, 2025 | 6.63 Mn |
| Mar 31, 2025 | 6.92 Mn |
| Dec 31, 2024 | 3.83 Mn |
| Sep 30, 2024 | 3.75 Mn |
| Jun 30, 2024 | 4.40 Mn |
| Mar 31, 2024 | 3.08 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Sep 30, 2023 | 2.47 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 2.90 Mn |
| Dec 31, 2022 | 4.09 Mn |
| Sep 30, 2022 | 2.77 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 2.20 Mn |
| Sep 30, 2021 | 1.68 Mn |
API Access
D-Wave Quantum Other Operating Expenses 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=other-operating-expenses&ticker=QBTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=QBTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();