Quantum Computing (QUBT) Research & Development (2018 - 2026)
Quantum Computing's Research & Development was $8.43 million in Q2 2026, up 41.1% from $5.98 million a year earlier and up 20.9% from the prior quarter.
Quantum Computing (QUBT) Research & Development (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quantum Computing's Research & Development was $26.91 million through Jun 30, 2026, up 68.6% year-over-year; for FY2025, it came in at $20.47 million, up 80.9% from FY2024.
- Research & Development has now increased for seven consecutive years, with a five-year compound annual growth rate of 67.8% (FY2020 to FY2025).
- In earlier years, Research & Development was $11.32 million in FY2024 (+27.3%), $8.89 million in FY2023 (+70.5%), $5.22 million in FY2022 (+101.7%) and $2.59 million in FY2021 (+68.0%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q1 2018.
- Compared with a year earlier, Research & Development has increased for seven straight quarters, with growth averaging 85.9% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q2 2023 (growth of 190.0%); the worst was Q2 2024 (a decline of 15.1%).
- Per Business Quant data, QUBT's Research & Development in the three quarters before Q2 2026 was $6.97 million (Q1 2026), $7 million (Q4 2025) and $4.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Quantum Computing | 1.46 Bn | -2.15 Bn | -1.17 Mn | 8.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.43 Mn |
| Mar 31, 2026 | 6.97 Mn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 4.51 Mn |
| Jun 30, 2025 | 5.98 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 4.76 Mn |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 2.22 Mn |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 2.33 Mn |
| Jun 30, 2023 | 2.47 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.07 Mn |
| Sep 30, 2022 | 1.27 Mn |
| Jun 30, 2022 | 850,444.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 790,602.00 |
| Sep 30, 2021 | 613,057.00 |
Quantum Computing Research & Development 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=research-and-development&ticker=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();