Quantum Computing (QUBT) Accumulated Expenses (2018 - 2026)
Quantum Computing (QUBT) posted Accumulated Expenses of $6.95 million for Q2 2026, up 455.6% from $1.25 million a year earlier but down 16.7% from the prior quarter.
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Analysis
Quantum Computing (QUBT) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Quantum Computing's Accumulated Expenses came in at $9.14 million, up 328.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 142.9% (FY2020 to FY2025).
- In prior years, Quantum Computing's Accumulated Expenses was $2.13 million in FY2024 (+234.0%), $639,000 in FY2023 (-78.4%), $2.96 million in FY2022 (+518.8%) and $478,505 in FY2021 (+342.5%).
- Quarterly Accumulated Expenses has run from a low of $8,140 in Q1 2022 to a high of $9.14 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last seven quarters, with growth averaging 205.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2023, with growth of 854.8%; the weakest was Q1 2022, with a decline of 94.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $8.34 million (Q1 2026), $9.14 million (Q4 2025) and $1.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn |
| 10 | Quantum Computing | 1.45 Bn | -2.17 Bn | -1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 8.34 Mn |
| Dec 31, 2025 | 9.14 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 647,000.00 |
| Dec 31, 2024 | 2.13 Mn |
| Sep 30, 2024 | 661,000.00 |
| Jun 30, 2024 | 341,000.00 |
| Mar 31, 2024 | 619,000.00 |
| Dec 31, 2023 | 653,000.00 |
| Sep 30, 2023 | 1.03 Mn |
| Jun 30, 2023 | 2.83 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 3.18 Mn |
| Sep 30, 2022 | 673,570.00 |
| Jun 30, 2022 | 296,167.00 |
| Mar 31, 2022 | 8,140.00 |
| Dec 31, 2021 | 478,505.00 |
| Sep 30, 2021 | 298,504.00 |
API Access
Quantum Computing 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=QUBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "QUBT", "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=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();