Quanome Technologies (QNME) EBITDA (2023 - 2026)
Quanome Technologies (QNME) recorded EBITDA of -$6.76 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$71,114 a year earlier.
Analysis
Quanome Technologies (QNME) EBITDA (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quanome Technologies reported EBITDA of -$10.05 million.
- Across earlier fiscal years, EBITDA came in at -$1.35 million in FY2025, -$453,384 in FY2024 and $377,652 in FY2023.
- The fiscal Q4 2026 figure is the lowest quarterly EBITDA in data going back to fiscal Q1 2024.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.5 million (Q3 2026), -$1.45 million (Q2 2026) and -$1.23 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 3.40 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 1.86 Bn |
| 10 | Quanome Technologies | 12.36 Mn | 4.21 Mn | 540,115.00 | -6.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.76 Mn |
| Mar 31, 2026 | -1.49 Mn |
| Dec 31, 2025 | -1.42 Mn |
| Sep 30, 2025 | -1.16 Mn |
| Jun 30, 2025 | 43,799.00 |
| Mar 31, 2025 | -144,269.00 |
| Dec 31, 2024 | -1.97 Mn |
| Sep 30, 2024 | -1.30 Mn |
| Jun 30, 2024 | -288,668.00 |
| Mar 31, 2024 | 67,397.00 |
| Dec 31, 2023 | 107,203.00 |
| Sep 30, 2023 | -315,343.00 |
API Access
Quanome Technologies EBITDA 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&ticker=QNME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "QNME", "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&ticker=QNME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();