BillionToOne (BLLN) EBITDA (2024 - 2026)
BillionToOne's EBITDA came in at $7.33 million for Q2 2026, compared with $120,000 a year earlier and down 62.5% from the prior quarter.
BillionToOne (BLLN) EBITDA (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BillionToOne reported EBITDA of $50.24 million; for FY2025, it came in at $22.93 million.
- Going back by year, EBITDA was -$40.11 million in FY2024 and -$63.62 million in FY2023.
- The five-year range for quarterly EBITDA is -$9.89 million (Q4 2024) to $19.57 million (Q1 2026).
- Business Quant data shows BLLN's EBITDA at $19.57 million (Q1 2026), $12.01 million (Q4 2025) and $11.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.22 Bn | 97.23 Bn | - | 4.05 Bn |
| 2 | Natera | 59.29 Bn | 54.98 Bn | 485.19 Mn | -54.61 Mn |
| 3 | Quest Diagnostics | 26.56 Bn | 24.69 Bn | 1.03 Bn | 605.00 Mn |
| 4 | Labcorp Holdings | 26.41 Bn | 24.16 Bn | 1.11 Bn | 630.60 Mn |
| 5 | Tenet Healthcare | 22.49 Bn | 11.49 Bn | - | 1.72 Bn |
| 6 | Guardant Health | 22.12 Bn | 18.19 Bn | 219.03 Mn | -119.56 Mn |
| 7 | BrightSpring Health Services | 12.91 Bn | 11.24 Bn | 492.75 Mn | 174.76 Mn |
| 8 | Fresenius Medical Care AG | 12.56 Bn | 4.51 Bn | 1.52 Bn | 956.64 Mn |
| 9 | Tempus AI | 12.17 Bn | 9.20 Bn | 246.50 Mn | - |
| 10 | BillionToOne | 4.88 Bn | 3.10 Bn | 77.11 Mn | 7.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33 Mn |
| Mar 31, 2026 | 19.57 Mn |
| Dec 31, 2025 | 12.01 Mn |
| Sep 30, 2025 | 11.33 Mn |
| Jun 30, 2025 | 120,000.00 |
| Mar 31, 2025 | -522,000.00 |
| Dec 31, 2024 | -9.89 Mn |
BillionToOne 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=BLLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BLLN", "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=BLLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();