Cheetah Net Supply Chain Service (CTNT) Return on Assets [ROA] (2023 - 2026)
Cheetah Net Supply Chain Service (CTNT) reported Return on Assets [ROA] of -5.99% for Q2 2026, up 30.86 percentage points from -36.85% a year earlier.
Cheetah Net Supply Chain Service (CTNT) Return on Assets [ROA] (2023 - 2026) Analysis & Trends
For FY2025, Cheetah Net Supply Chain Service posted Return on Assets [ROA] of -26.80%, up 14.00 percentage points from FY2024.
- By year, Return on Assets [ROA] came in at -40.79% in FY2024 (-41.88 pp) and 1.08% in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Return on Assets [ROA] since Q3 2023.
- Year over year, Return on Assets [ROA] gained in two of the last seven quarters, with an average year-over-year change of -6.99 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | 10.59% |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 8.03% |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 6.39% |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 4.44% |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 5.89% |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 4.58% |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 3.82% |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 19.12% |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 4.21% |
| 10 | Cheetah Net Supply Chain Service | 28,706.15 | -2.75 Mn | 19,500.00 | -5.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.99% |
| Dec 31, 2025 | -29.61% |
| Sep 30, 2025 | -35.46% |
| Jun 30, 2025 | -36.85% |
| Mar 31, 2025 | -35.69% |
| Dec 31, 2024 | -32.22% |
| Sep 30, 2024 | -29.72% |
| Jun 30, 2024 | -22.75% |
| Mar 31, 2024 | -22.14% |
| Dec 31, 2023 | -14.91% |
| Sep 30, 2023 | 2.01% |
Cheetah Net Supply Chain Service Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=CTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "CTNT", "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-assets-%5Broa%5D&ticker=CTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();