Quantum Computing (QUBT) EBITDA Margin (2022 - 2026)
Quantum Computing's EBITDA Margin came in at -357.76% for Q2 2026, up 14861.92 percentage points from -15219.67% a year earlier and up 145.58 percentage points from the prior quarter.
Quantum Computing (QUBT) EBITDA Margin (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Quantum Computing reported EBITDA Margin of -697.43%, up 10268.34 percentage points year-over-year; for FY2025, it was -6843.70%, down 908.31 percentage points from FY2024.
- EBITDA Margin carries a three-year change of +10460.35 percentage points (FY2022 to FY2025).
- Going back by year, EBITDA Margin was -5935.39% in FY2024 (+471.32 pp), -6406.70% in FY2023 (+10897.34 pp) and -17304.05% in FY2022.
- The Q2 2026 figure represents the highest quarterly EBITDA Margin in data going back to Q1 2022.
- Year-over-year, EBITDA Margin has increased for four consecutive quarters, with an average year-over-year change of +3337.76 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2023 (a gain of 418853.84 percentage points), and the weakest in Q1 2024 (a drop of 17158.20 percentage points).
- Business Quant data shows QUBT's EBITDA Margin at -503.33% (Q1 2026), -10530.81% (Q4 2025) and -2403.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 4.19% |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 20.62% |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 8.76% |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 4.58% |
| 10 | Quantum Computing | 1.54 Bn | -2.08 Bn | -1.17 Mn | -357.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -357.76% |
| Mar 31, 2026 | -503.33% |
| Dec 31, 2025 | -10,530.81% |
| Sep 30, 2025 | -2,403.13% |
| Jun 30, 2025 | -15,219.67% |
| Mar 31, 2025 | -18,746.15% |
| Dec 31, 2024 | -9,551.61% |
| Sep 30, 2024 | -4,358.42% |
| Jun 30, 2024 | -2,415.30% |
| Mar 31, 2024 | -19,766.67% |
| Dec 31, 2023 | -7,448.00% |
| Sep 30, 2023 | -9,612.01% |
| Jun 30, 2023 | -6,707.87% |
| Mar 31, 2023 | -2,944.38% |
| Dec 31, 2022 | -412,979.39% |
| Sep 30, 2022 | -14,132.92% |
| Jun 30, 2022 | -7,336.24% |
| Mar 31, 2022 | -21,465.71% |
Quantum Computing EBITDA Margin 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=ebitda-margin&ticker=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();