Team (TISI) Long-Term Debt Repayments (2010 - 2025)
Team's Long-Term Debt Repayments was $48.02 million in FY2025, compared with $1.43 million in FY2024.
Analysis
Team (TISI) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
From FY2010 onward, Team has reported Long-Term Debt Repayments for 7 years.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -18.7% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Long-Term Debt Repayments since FY2020.
- Per Business Quant data, Long-Term Debt Repayments in earlier years was $1.43 million in FY2024 (-96.5%) and $41.16 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | - |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 1.76 Bn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | - |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 7.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 74.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 11.63 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Team | 97.57 Mn | 25.79 Mn | 54.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 48.02 Mn |
| Dec 31, 2024 | 356,000.00 |
| Sep 30, 2024 | 356,000.00 |
| Jun 30, 2024 | 357,000.00 |
| Mar 31, 2024 | 356,000.00 |
| Dec 31, 2023 | 319,000.00 |
| Sep 30, 2023 | 41.16 Mn |
| Jun 30, 2022 | -235,000.00 |
| Mar 31, 2022 | 235,000.00 |
| Dec 31, 2020 | 166.75 Mn |
| May 31, 2012 | -1,000.00 |
| Feb 29, 2012 | 57,000.00 |
| Nov 30, 2011 | 89,000.00 |
| Aug 31, 2011 | 90,000.00 |
| May 31, 2011 | 100,000.00 |
| Feb 28, 2011 | 87,000.00 |
| Nov 30, 2010 | 79,000.00 |
| Aug 31, 2010 | 77,000.00 |
API Access
Team 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=TISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TISI", "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=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();