Blue Line Holdings (BLNH) Operating Expenses (2024 - 2025)
Blue Line Holdings (BLNH) recorded Operating Expenses of $38,312 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 83.0% from $20,930 a year earlier and up 278.7% from the prior quarter.
Blue Line Holdings (BLNH) Operating Expenses (2024 - 2025) Analysis & Trends
On a TTM basis, Blue Line Holdings' Operating Expenses came in at $81,737 as of Dec 31, 2025; for FY2025 (ended Jun 30, 2025), it came in at $106,125.
- Across earlier fiscal years, Operating Expenses came in at $8,881 in FY2024.
- The fiscal Q2 2026 figure is the highest quarterly Operating Expenses since fiscal Q1 2025.
- Per Business Quant, the preceding three fiscal quarters came in at $10,116 (Q1 2026), $23,407 (Q4 2025) and $9,902 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - | -1.63 Bn |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn | -263.15 Mn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Blue Line Holdings | 10.43 Mn | 10.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 38,312.00 |
| Sep 30, 2025 | 10,116.00 |
| Jun 30, 2025 | 23,407.00 |
| Mar 31, 2025 | 9,902.00 |
| Dec 31, 2024 | 20,930.00 |
| Sep 30, 2024 | 51,886.00 |
Blue Line Holdings Operating Expenses 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=operating-expenses&ticker=BLNH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BLNH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BLNH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();