Toppoint Holdings (TOPP) Return on Sales [ROS] (2024 - 2026)
Toppoint Holdings (TOPP) reported Return on Sales [ROS] of -7.34% for Q2 2026, up 32.70 percentage points from -40.04% a year earlier.
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Analysis
Toppoint Holdings (TOPP) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Toppoint Holdings' Return on Sales [ROS] came in at -42.07%, down 22.60 percentage points year-over-year; for FY2025, it came in at -44.58%, down 40.55 percentage points from FY2024.
- By year, Return on Sales [ROS] came in at -4.03% in FY2024 (-8.32 pp) and 4.29% in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year over year, Return on Sales [ROS] gained in 1 of the last five quarters, with an average year-over-year change of -24.24 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 174.04 Bn | 166.29 Bn | - | 40.89% |
| 2 | Csx | 93.63 Bn | 88.85 Bn | - | 39.08% |
| 3 | Canadian Pacific Kansas City | 78.71 Bn | 78.42 Bn | - | 35.35% |
| 4 | United Parcel Service | 75.71 Bn | 52.63 Bn | - | 4.07% |
| 5 | Norfolk Southern | 74.09 Bn | 68.55 Bn | - | 32.61% |
| 6 | Fedex | 70.69 Bn | 36.64 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.49 Bn | 32.68 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 37.91 Bn | 37.17 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.82 Bn | -25.88 Bn | - | 8.09% |
| 10 | Toppoint Holdings | 2.96 Mn | -4.89 Mn | - | -7.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.34% |
| Dec 31, 2025 | -26.95% |
| Sep 30, 2025 | -94.10% |
| Jun 30, 2025 | -40.04% |
| Mar 31, 2025 | -10.68% |
| Dec 31, 2024 | -14.58% |
| Sep 30, 2024 | -11.65% |
| Jun 30, 2024 | 4.39% |
| Mar 31, 2024 | 3.96% |
API Access
Toppoint Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TOPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TOPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();