Quantum Computing (QUBT) EBIT Margin (2022 - 2026)
Quantum Computing (QUBT) recorded EBIT Margin of -414.57% in Q2 2026, up 16259.20 percentage points from -16673.77% a year earlier and up 142.19 percentage points from the prior quarter.
Quantum Computing (QUBT) EBIT Margin (2022 - 2026) Analysis & Trends
On a TTM basis, Quantum Computing's EBIT Margin came in at -775.48% as of Jun 30, 2026, up 11699.43 percentage points year-over-year; for FY2025, it was -7489.30%, down 535.68 percentage points from FY2024.
- Annual EBIT Margin has a three-year change of +13573.20 percentage points (FY2022 to FY2025).
- Across earlier years, EBIT Margin came in at -6953.62% in FY2024 (+376.83 pp), -7330.45% in FY2023 (+13732.05 pp) and -21062.50% in FY2022.
- The Q2 2026 figure is the highest quarterly EBIT Margin in data going back to Q1 2022.
- On a year-over-year basis, EBIT Margin has increased for four consecutive quarters, with an average year-over-year change of +4171.87 percentage points over the last eight quarters.
- Peak year-over-year performance for EBIT Margin in the last five years was a gain of 622744.07 percentage points in Q4 2023, against a drop of 18366.51 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -556.76% (Q1 2026), -11220.20% (Q4 2025) and -2709.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 3.68% |
| 10 | Quantum Computing | 1.46 Bn | -2.15 Bn | -1.17 Mn | -414.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -414.57% |
| Mar 31, 2026 | -556.76% |
| Dec 31, 2025 | -11,220.20% |
| Sep 30, 2025 | -2,709.38% |
| Jun 30, 2025 | -16,673.77% |
| Mar 31, 2025 | -21,246.15% |
| Dec 31, 2024 | -14,377.42% |
| Sep 30, 2024 | -5,384.16% |
| Jun 30, 2024 | -2,878.14% |
| Mar 31, 2024 | -23,403.70% |
| Dec 31, 2023 | -8,772.00% |
| Sep 30, 2023 | -13,222.00% |
| Jun 30, 2023 | -6,212.50% |
| Mar 31, 2023 | -5,037.19% |
| Dec 31, 2022 | -631,516.07% |
| Sep 30, 2022 | -18,153.30% |
| Jun 30, 2022 | -7,342.81% |
| Mar 31, 2022 | -21,475.45% |
Quantum Computing EBIT 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=ebit-margin&ticker=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();