Quantum Computing (QUBT) Capital Expenditures (2018 - 2026)
Quantum Computing (QUBT) recorded Capital Expenditures of $2.67 million in Q2 2026, up 160.4% from $1.02 million a year earlier and up 46.3% from the prior quarter.
Quantum Computing (QUBT) Capital Expenditures (2018 - 2026) Analysis & Trends
On a TTM basis, Quantum Computing's Capital Expenditures came in at $8.42 million as of Jun 30, 2026, up 37.2% year-over-year; for FY2025, it was $6.69 million, up 10.8% from FY2024.
- Annual Capital Expenditures has increased for three straight years, with a five-year compound annual growth rate of 254.4% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $6.04 million in FY2024 (+185.8%), $2.11 million in FY2023 (+142.8%), $870,000 in FY2022 and $19,391 in FY2021 (+62.0%).
- Quarterly Capital Expenditures has ranged from -$53,000 in Q4 2023 to $2.87 million in Q4 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last seven quarters, with growth averaging 69.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 914.5% in Q3 2023, against a decline of 67.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.82 million (Q1 2026), $1.16 million (Q4 2025) and $2.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.30 Bn | 245.37 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 244.24 Bn | 224.64 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 127.33 Bn | 113.26 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 112.88 Bn | 100.20 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 97.44 Bn | 79.08 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Zscaler | 36.86 Bn | 22.98 Bn | - | - |
| 7 | Okta | 36.17 Bn | 26.26 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 31.69 Bn | 26.22 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 31.25 Bn | 21.72 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Quantum Computing | 1.53 Bn | -2.09 Bn | -1.17 Mn | 2.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67 Mn |
| Mar 31, 2026 | 1.82 Mn |
| Dec 31, 2025 | 1.16 Mn |
| Sep 30, 2025 | 2.78 Mn |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 2.87 Mn |
| Sep 30, 2024 | 514,000.00 |
| Jun 30, 2024 | 1.08 Mn |
| Mar 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | -53,000.00 |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 202,000.00 |
| Mar 31, 2023 | 379,000.00 |
| Dec 31, 2022 | 703,794.00 |
| Sep 30, 2022 | 156,138.00 |
| Jun 30, 2022 | 6,685.00 |
| Mar 31, 2022 | 3,383.00 |
| Dec 31, 2021 | 11,085.00 |
| Sep 30, 2021 | 4,263.00 |
Quantum Computing Capital Expenditures 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=capital-expenditures&ticker=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();