Cheetah Net Supply Chain Service (CTNT) Long-Term Debt Repayments (2022 - 2026)
Cheetah Net Supply Chain Service's Long-Term Debt Repayments came in at $9,026 for Q3 2025, up 5.1% from $8,592 a year earlier.
Analysis
Cheetah Net Supply Chain Service (CTNT) Long-Term Debt Repayments (2022 - 2026) Analysis & Trends
For FY2024, Cheetah Net Supply Chain Service's Long-Term Debt Repayments was $13,423, down 58.5% from FY2023.
- Going back by year, Long-Term Debt Repayments was $32,375 in FY2023 (-97.8%) and $1.45 million in FY2022.
- The Q3 2025 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.63 Bn | 170.88 Bn | - | 13.00 Mn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 1.00 Mn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 48.00 Mn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 4.29 Mn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 1.34 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 11.00 Mn |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 1.23 Bn |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 1.00 Bn |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | - |
| 10 | Cheetah Net Supply Chain Service | 33,909.82 | -3.26 Mn | 19,500.00 | 9,362.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,362.00 |
| Mar 31, 2026 | 9,344.00 |
| Dec 31, 2025 | 9,184.00 |
| Sep 30, 2025 | 9,026.00 |
| Jun 30, 2025 | 8,884.00 |
| Mar 31, 2025 | 8,949.00 |
| Dec 31, 2024 | 22,171.00 |
| Sep 30, 2024 | 8,592.00 |
| Jun 30, 2024 | 7,608.00 |
| Mar 31, 2024 | 8,068.00 |
| Dec 31, 2023 | 14,343.00 |
| Sep 30, 2023 | 33,868.00 |
| Jun 30, 2023 | 7,772.00 |
| Mar 31, 2023 | 8,503.00 |
| Dec 31, 2022 | 311,828.00 |
| Sep 30, 2022 | 1.11 Mn |
API Access
Cheetah Net Supply Chain Service Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();