Armlogi Holding (BTOC) Operating Expenses (2023 - 2026)
Armlogi Holding (BTOC) posted Operating Expenses of $21.97 million for FY2026 (year ended Jun 30, 2026), up 49.7% from $14.68 million in FY2025.
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Analysis
Armlogi Holding (BTOC) Operating Expenses (2023 - 2026) Analysis & Trends
Since FY2023, Armlogi Holding has reported Operating Expenses for 4 fiscal years.
- Annual Operating Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 41.2% (FY2023 to FY2026).
- Business Quant data shows BTOC's Operating Expenses at $14.68 million in FY2025 (+47.2%), $9.97 million in FY2024 (+27.8%) and $7.8 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 4.25 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 21.11 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 2.45 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 1.95 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 23.46 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 2.38 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 18.73 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 16.43 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 1.14 Bn |
| 10 | Armlogi Holding | 5.11 Mn | -11.27 Mn | 5.54 Mn | 11.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.10 Mn |
| Mar 31, 2026 | 3.33 Mn |
| Dec 31, 2025 | 3.33 Mn |
| Sep 30, 2025 | 4.22 Mn |
| Jun 30, 2025 | 3.87 Mn |
| Mar 31, 2025 | 4.47 Mn |
| Dec 31, 2024 | 2.66 Mn |
| Sep 30, 2024 | 3.67 Mn |
| Jun 30, 2024 | 1.87 Mn |
| Mar 31, 2024 | 3.27 Mn |
| Dec 31, 2023 | 2.92 Mn |
| Sep 30, 2023 | 1.91 Mn |
| Jun 30, 2023 | 824,970.00 |
| Mar 31, 2023 | 3.05 Mn |
API Access
Armlogi Holding 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=BTOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BTOC", "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=BTOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();