TrueBlue (TBI) Total Non-Current Liabilities (2009 - 2026)
TrueBlue's Total Non-Current Liabilities came in at $305.44 million for Q2 2026, up 6.6% from $286.44 million a year earlier and up 2.0% from the prior quarter.
TrueBlue (TBI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, TrueBlue's Total Non-Current Liabilities was $291.56 million, up 14.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $254.95 million in FY2024 (-12.0%), $289.86 million in FY2023 (-10.0%), $322.09 million in FY2022 (-6.8%) and $345.56 million in FY2021 (-2.4%).
- The five-year range for quarterly Total Non-Current Liabilities is $245.75 million (Q3 2024) to $345.56 million (Q4 2021).
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 26.6%), and the weakest in Q3 2024 (a decline of 13.8%).
- Business Quant data shows TBI's Total Non-Current Liabilities at $299.42 million (Q1 2026), $291.56 million (Q4 2025) and $311.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.30 Bn | 108.58 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 84.94 Bn | 84.02 Bn | 1.55 Bn | 2.74 Bn |
| 3 | Iron Mountain | 34.37 Bn | 33.56 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.87 Bn | 14.90 Bn | 703.00 Mn | 6.26 Bn |
| 5 | Rollins | 16.01 Bn | 15.56 Bn | 582.90 Mn | 1.83 Bn |
| 6 | UL Solutions | 14.60 Bn | 13.35 Bn | 417.00 Mn | 1.41 Bn |
| 7 | Aramark | 14.58 Bn | 12.53 Bn | 430.34 Mn | 9.92 Bn |
| 8 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | -6.00 Mn |
| 10 | TrueBlue | 295.62 Mn | 203.84 Mn | 91.58 Mn | 266.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 266.46 Mn |
| Mar 29, 2026 | 263.20 Mn |
| Dec 28, 2025 | 251.13 Mn |
| Sep 28, 2025 | 271.03 Mn |
| Jun 29, 2025 | 247.13 Mn |
| Mar 30, 2025 | 260.52 Mn |
| Dec 29, 2024 | 215.53 Mn |
| Sep 29, 2024 | 206.00 Mn |
| Jun 30, 2024 | 207.84 Mn |
| Mar 31, 2024 | 233.83 Mn |
| Dec 31, 2023 | 253.53 Mn |
| Sep 24, 2023 | 252.23 Mn |
| Jun 25, 2023 | 251.61 Mn |
| Mar 26, 2023 | 265.39 Mn |
| Dec 25, 2022 | 293.48 Mn |
| Sep 25, 2022 | 274.14 Mn |
| Jun 26, 2022 | 285.36 Mn |
| Mar 27, 2022 | 284.82 Mn |
| Dec 26, 2021 | 313.47 Mn |
| Sep 26, 2021 | 295.66 Mn |
TrueBlue Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();