Cheetah Net Supply Chain Service (CTNT) Tax Provisions (2022 - 2024)
Cheetah Net Supply Chain Service's Tax Provisions was $15,916 in FY2025, compared with -$215,822 in FY2024.
Analysis
Cheetah Net Supply Chain Service (CTNT) Tax Provisions (2022 - 2024) Analysis & Trends
From FY2022 onward, Cheetah Net Supply Chain Service has reported Tax Provisions for 4 years.
- Tax Provisions shows a three-year compound annual growth rate of -59.2% (FY2022 to FY2025).
- The FY2025 figure marks the highest annual Tax Provisions since FY2022.
- Per Business Quant data, Tax Provisions in earlier years was -$215,822 in FY2024, -$488,918 in FY2023 and $234,479 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 562.00 Mn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 318.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 242.18 Mn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 157.00 Mn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 225.00 Mn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 405.00 Mn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 116.87 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | -64.16 Mn |
| 10 | Cheetah Net Supply Chain Service | 60,476.64 | 60,476.64 | 19,500.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 837,147.00 |
| Sep 30, 2024 | -559,980.00 |
| Jun 30, 2024 | -247,275.00 |
| Mar 31, 2024 | -245,714.00 |
| Dec 31, 2023 | -547,144.00 |
| Sep 30, 2023 | 44,217.00 |
| Jun 30, 2023 | 56,997.00 |
| Mar 31, 2023 | -42,988.00 |
| Dec 31, 2022 | 53,876.00 |
| Sep 30, 2022 | 333,844.00 |
| Jun 30, 2022 | 24,549.00 |
API Access
Cheetah Net Supply Chain Service Tax Provisions 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=tax-provisions&ticker=CTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();