TrueBlue (TBI) Total Liabilities (2009 - 2026)
TrueBlue (TBI) posted Total Liabilities of $368.3 million for Q2 2026, up 0.2% from $367.59 million a year earlier and up 1.0% from the prior quarter.
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Analysis
TrueBlue (TBI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, TrueBlue's Total Liabilities came in at $364.11 million, up 1.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In prior years, TrueBlue's Total Liabilities was $360.02 million in FY2024 (-18.5%), $441.51 million in FY2023 (-15.6%), $523.09 million in FY2022 (-3.2%) and $540.16 million in FY2021 (-0.6%).
- Quarterly Total Liabilities has run from a low of $360.02 million in Q4 2024 to a high of $540.16 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 6.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 8.3%; the weakest was Q4 2024, with a decline of 18.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $364.59 million (Q1 2026), $364.11 million (Q4 2025) and $386.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | TrueBlue | 280.08 Mn | 188.30 Mn | 91.58 Mn | 368.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 368.30 Mn |
| Mar 29, 2026 | 364.59 Mn |
| Dec 28, 2025 | 364.11 Mn |
| Sep 28, 2025 | 386.19 Mn |
| Jun 29, 2025 | 367.59 Mn |
| Mar 30, 2025 | 390.25 Mn |
| Dec 29, 2024 | 360.02 Mn |
| Sep 29, 2024 | 375.22 Mn |
| Jun 30, 2024 | 385.93 Mn |
| Mar 31, 2024 | 422.22 Mn |
| Dec 31, 2023 | 441.51 Mn |
| Sep 24, 2023 | 458.41 Mn |
| Jun 25, 2023 | 470.81 Mn |
| Mar 26, 2023 | 489.49 Mn |
| Dec 25, 2022 | 523.09 Mn |
| Sep 25, 2022 | 495.97 Mn |
| Jun 26, 2022 | 525.06 Mn |
| Mar 27, 2022 | 513.37 Mn |
| Dec 26, 2021 | 540.16 Mn |
| Sep 26, 2021 | 524.12 Mn |
API Access
TrueBlue Total 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-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();