Toppoint Holdings (TOPP) Operating Expenses (2024 - 2026)
Toppoint Holdings' Operating Expenses was $4.98 million in Q2 2026, down 10.4% from $5.56 million a year earlier.
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Analysis
Toppoint Holdings (TOPP) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Toppoint Holdings' Operating Expenses was $24.69 million through Jun 30, 2026, up 34.3% year-over-year; for FY2025, it was $23.93 million, up 43.4% from FY2024.
- In earlier years, Operating Expenses was $16.69 million in FY2024 (-3.3%) and $17.26 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q1 2025.
- Compared with a year earlier, Operating Expenses was higher in four of the last five quarters, with growth averaging 32.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Toppoint Holdings | 2.65 Mn | -5.20 Mn | - | 4.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.98 Mn |
| Dec 31, 2025 | 5.42 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 5.56 Mn |
| Mar 31, 2025 | 4.22 Mn |
| Dec 31, 2024 | 4.44 Mn |
| Sep 30, 2024 | 4.17 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | 3.59 Mn |
API Access
Toppoint Holdings 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=TOPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=TOPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();