Armlogi Holding (BTOC) Capital Expenditures (2023 - 2025)
Armlogi Holding's Capital Expenditures came in at $1.84 million for FY2026 (year ended Jun 30, 2026), down 36.2% from $2.89 million in FY2025.
Analysis
Armlogi Holding (BTOC) Capital Expenditures (2023 - 2025) Analysis & Trends
Going back to FY2023, Armlogi Holding's Capital Expenditures data covers 4 fiscal years.
- Capital Expenditures carries a three-year compound annual growth rate of 0.6% (FY2023 to FY2026).
- The FY2026 figure represents the lowest annual Capital Expenditures since FY2023.
- Per Business Quant, earlier fiscal years put Capital Expenditures at $2.89 million in FY2025 (-44.5%), $5.21 million in FY2024 (+187.4%) and $1.81 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 873.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 439.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 1.34 Bn |
| 10 | Armlogi Holding | 10.91 Mn | -12.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 580,791.00 |
| Sep 30, 2025 | 56,077.00 |
| Jun 30, 2025 | 296,471.00 |
| Mar 31, 2025 | 522,687.00 |
| Dec 31, 2024 | 717,473.00 |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 2.13 Mn |
| Mar 31, 2024 | 132,049.00 |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 1.15 Mn |
| Jun 30, 2023 | 22,929.00 |
API Access
Armlogi Holding Capital Expenditures 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=capital-expenditures&ticker=BTOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BTOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();