Cheetah Net Supply Chain Service (CTNT) Price to Sales (2023 - 2026)
Cheetah Net Supply Chain Service's (CTNT) Price to Sales stood at 0.02 in Q2 2026, down 99.6% from 5.06 a year earlier.
Analysis
Cheetah Net Supply Chain Service (CTNT) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Cheetah Net Supply Chain Service's Price to Sales came in at 4.18, down 85.5% from FY2024.
- Across earlier years, Price to Sales came in at 28.83 in FY2024 and 0.81 in FY2023.
- The Q2 2026 figure is the lowest quarterly Price to Sales in data going back to Q3 2023.
- On a year-over-year basis, Price to Sales rose in four of the last six quarters, with growth averaging 116.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | Cheetah Net Supply Chain Service | 51,626.40 | 51,626.40 | 19,500.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Dec 31, 2025 | 4.18 |
| Sep 30, 2025 | 5.48 |
| Jun 30, 2025 | 5.06 |
| Mar 31, 2025 | 6.55 |
| Dec 31, 2024 | 28.83 |
| Sep 30, 2024 | 1.87 |
| Jun 30, 2024 | 1.12 |
| Mar 31, 2024 | 1.75 |
| Dec 31, 2023 | 0.81 |
| Sep 30, 2023 | 1.13 |
API Access
Cheetah Net Supply Chain Service Price to Sales 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=price-to-sales&ticker=CTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=CTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();