Toppoint Holdings (TOPP) Other Operating Expenses (2024 - 2026)
Toppoint Holdings (TOPP) posted Other Operating Expenses of $4.26 million for Q2 2026, up 302.6% from $1.06 million a year earlier.
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Analysis
Toppoint Holdings (TOPP) Other Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Toppoint Holdings was $5.87 million, up 3.1% year-over-year; for FY2025, it came in at $2.51 million, up 9.3% from FY2024.
- In prior years, Toppoint Holdings' Other Operating Expenses was $2.3 million in FY2024 (-85.1%) and $15.39 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - |
| 10 | Toppoint Holdings | 2.59 Mn | -5.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.26 Mn |
| Dec 31, 2025 | -1.27 Mn |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 3.31 Mn |
| Dec 31, 2024 | 427,552.00 |
| Sep 30, 2024 | 892,709.00 |
| Jun 30, 2024 | 646,889.00 |
| Mar 31, 2024 | 3.25 Mn |
API Access
Toppoint Holdings Other 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=other-operating-expenses&ticker=TOPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TOPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();