TrueBlue (TBI) Long-Term Debt Repayments (2009 - 2026)
TrueBlue (TBI) reported Long-Term Debt Repayments of $3.52 million for Q2 2026, down 4.7% from $3.69 million a year earlier and down 6.3% from the prior quarter.
TrueBlue (TBI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, TrueBlue's Long-Term Debt Repayments came in at $14.42 million, down 3.3% year-over-year; for FY2025, it was $14.44 million, down 5.4% from FY2024.
- Long-Term Debt Repayments has declined for seven consecutive years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $15.27 million in FY2024 (-3.4%), $15.8 million in FY2023 (-1.0%), $15.96 million in FY2022 (-3.8%) and $16.59 million in FY2021 (-2.4%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $3.37 million in Q3 2025 and a high of $4.19 million in Q4 2021.
- Year over year, Long-Term Debt Repayments gained in two of the last eight quarters, with an average decline of 3.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2021 (growth of 8.8%); the low point was Q3 2025 (a decline of 13.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.75 million (Q1 2026), $3.79 million (Q4 2025) and $3.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 160.61 Bn | 119.89 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.83 Bn | 88.91 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 19.55 Bn | 16.77 Bn | 770.00 Mn | 7.00 Mn |
| 5 | Rollins | 17.23 Bn | 16.77 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.63 Bn | 9.33 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.13 Bn | 13.89 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 14.29 Bn | 12.24 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 12.16 Bn | 5.68 Bn | - | - |
| 10 | TrueBlue | 299.00 Mn | 207.21 Mn | 91.58 Mn | 3.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.52 Mn |
| Mar 29, 2026 | 3.75 Mn |
| Dec 28, 2025 | 3.79 Mn |
| Sep 28, 2025 | 3.37 Mn |
| Jun 29, 2025 | 3.69 Mn |
| Mar 30, 2025 | 3.59 Mn |
| Dec 29, 2024 | 3.75 Mn |
| Sep 29, 2024 | 3.89 Mn |
| Jun 30, 2024 | 3.69 Mn |
| Mar 31, 2024 | 3.95 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 24, 2023 | 3.93 Mn |
| Jun 25, 2023 | 3.77 Mn |
| Mar 26, 2023 | 4.03 Mn |
| Dec 25, 2022 | 4.14 Mn |
| Sep 25, 2022 | 3.90 Mn |
| Jun 26, 2022 | 3.83 Mn |
| Mar 27, 2022 | 4.09 Mn |
| Dec 26, 2021 | 4.19 Mn |
| Sep 26, 2021 | 4.07 Mn |
TrueBlue 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=TBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TBI", "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=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();