D-Wave Quantum (QBTS) Accumulated Expenses (2021 - 2026)
D-Wave Quantum (QBTS) reported Accumulated Expenses of $12.14 million for Q2 2026, up 4.8% from $11.58 million a year earlier but down 21.5% from the prior quarter.
D-Wave Quantum (QBTS) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, D-Wave Quantum posted Accumulated Expenses of $15.84 million, up 80.3% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of 44.9% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $8.78 million in FY2024 (+64.4%), $5.34 million in FY2023 (-20.1%), $6.69 million in FY2022 (+86.1%) and $3.59 million in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $3.59 million in Q4 2021 and a high of $15.84 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 54.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2026 (growth of 135.8%); the low point was Q2 2024 (a decline of 53.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.46 million (Q1 2026), $15.84 million (Q4 2025) and $9.5 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.14 Mn |
| Mar 31, 2026 | 15.46 Mn |
| Dec 31, 2025 | 15.84 Mn |
| Sep 30, 2025 | 9.50 Mn |
| Jun 30, 2025 | 11.58 Mn |
| Mar 31, 2025 | 6.56 Mn |
| Dec 31, 2024 | 8.78 Mn |
| Sep 30, 2024 | 6.57 Mn |
| Jun 30, 2024 | 5.04 Mn |
| Mar 31, 2024 | 6.01 Mn |
| Dec 31, 2023 | 5.34 Mn |
| Sep 30, 2023 | 9.60 Mn |
| Jun 30, 2023 | 10.80 Mn |
| Mar 31, 2023 | 9.86 Mn |
| Dec 31, 2022 | 6.69 Mn |
| Sep 30, 2022 | 5.32 Mn |
| Jun 30, 2022 | 8.30 Mn |
| Dec 31, 2021 | 3.59 Mn |
D-Wave Quantum Accumulated 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=accumulated-expenses&ticker=QBTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=QBTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();