D-Wave Quantum (QBTS) Other Operating Expenses (2021 - 2026)
D-Wave Quantum's Other Operating Expenses was $11.36 million in Q2 2026, up 71.2% from $6.63 million a year earlier and up 8.4% from the prior quarter.
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Analysis
D-Wave Quantum (QBTS) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, D-Wave Quantum's Other Operating Expenses was $37.03 million through Jun 30, 2026, up 75.2% year-over-year; for FY2025, it was $28.75 million, up 90.9% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 50.6% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $15.06 million in FY2024 (+46.6%), $10.28 million in FY2023 (+2.1%), $10.07 million in FY2022 (+62.9%) and $6.18 million in FY2021 (+66.4%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q2 2021.
- Compared with a year earlier, Other Operating Expenses has increased for ten straight quarters, with growth averaging 76.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2025 (growth of 124.5%); the worst was Q4 2023 (a decline of 40.9%).
- Per Business Quant data, QBTS's Other Operating Expenses in the three quarters before Q2 2026 was $10.48 million (Q1 2026), $8.25 million (Q4 2025) and $6.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 330.54 Bn | 315.61 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.79 Bn | 252.23 Bn | 1.10 Bn |
| 3 | Fortinet | 138.86 Bn | 124.79 Bn | 1.64 Bn |
| 4 | Snowflake | 117.29 Bn | 104.60 Bn | 1.04 Bn |
| 5 | Datadog | 97.40 Bn | 79.04 Bn | 881.34 Mn |
| 6 | Okta | 36.44 Bn | 26.53 Bn | 641.00 Mn |
| 7 | Zscaler | 34.82 Bn | 20.94 Bn | - |
| 8 | Axon Enterprise | 32.98 Bn | 27.51 Bn | 546.45 Mn |
| 9 | MongoDB | 29.24 Bn | 19.71 Bn | 569.77 Mn |
| 10 | D-Wave Quantum | 5.66 Bn | 5.66 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();