Toppoint Holdings (TOPP) Depreciation and Depletion (2024 - 2026)
Toppoint Holdings (TOPP) posted Depreciation and Depletion of $79,751 for Q2 2026, down 40.3% from $133,673 a year earlier.
Toppoint Holdings (TOPP) Depreciation and Depletion (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Toppoint Holdings was $322,604, up 8.4% year-over-year; for FY2025, it came in at $339,886, up 250.5% from FY2024.
- In prior years, Toppoint Holdings' Depreciation and Depletion was $96,984 in FY2024 (+422.7%) and $18,556 in FY2023.
- Quarterly Depreciation and Depletion has run from a low of -$27,211 in Q4 2025 to a high of $136,391 in Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last four quarters, with growth averaging 500.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 643.00 Mn |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | - |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | - |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 363.00 Mn |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | - |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | - |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | - |
| 10 | Toppoint Holdings | 2.96 Mn | -4.89 Mn | - | 79,751.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79,751.00 |
| Dec 31, 2025 | -27,211.00 |
| Sep 30, 2025 | 136,391.00 |
| Jun 30, 2025 | 133,673.00 |
| Mar 31, 2025 | 97,033.00 |
| Dec 31, 2024 | 50,123.00 |
| Sep 30, 2024 | 16,842.00 |
| Jun 30, 2024 | 16,183.00 |
| Mar 31, 2024 | 13,725.00 |
Toppoint Holdings 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=TOPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TOPP", "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=TOPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();