Armlogi Holding (BTOC) Depreciation and Depletion (2023 - 2025)
Armlogi Holding's Depreciation and Depletion was $2.9 million in FY2026 (year ended Jun 30, 2026), up 13.4% from $2.56 million in FY2025.
Analysis
Armlogi Holding (BTOC) Depreciation and Depletion (2023 - 2025) Analysis & Trends
From FY2023 onward, Armlogi Holding has reported Depreciation and Depletion for 4 fiscal years.
- Depreciation and Depletion has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 37.7% (FY2023 to FY2026).
- Per Business Quant data, Depreciation and Depletion in earlier fiscal years was $2.56 million in FY2025 (+39.9%), $1.83 million in FY2024 (+64.5%) and $1.11 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Armlogi Holding | 10.91 Mn | -12.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 660,693.00 |
| Sep 30, 2025 | 682,244.00 |
| Jun 30, 2025 | 680,944.00 |
| Mar 31, 2025 | 658,260.00 |
| Dec 31, 2024 | 637,990.00 |
| Sep 30, 2024 | 578,432.00 |
| Jun 30, 2024 | 513,547.00 |
| Mar 31, 2024 | 525,167.00 |
| Dec 31, 2023 | 485,906.00 |
| Sep 30, 2023 | 388,929.00 |
| Jun 30, 2023 | 322,389.00 |
| Mar 31, 2023 | 289,689.00 |
API Access
Armlogi Holding Depreciation and Depletion 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=depreciation-and-depletion&ticker=BTOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BTOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();