TrueBlue (TBI) Total Current Liabilities (2009 - 2026)
TrueBlue (TBI) reported Total Current Liabilities of $139.36 million for Q2 2026, down 5.9% from $148.06 million a year earlier and down 3.1% from the prior quarter.
TrueBlue (TBI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, TrueBlue posted Total Current Liabilities of $138.53 million, down 13.5% from FY2024.
- Total Current Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $160.13 million in FY2024 (-21.5%), $204.1 million in FY2023 (-16.0%), $242.88 million in FY2022 (-6.1%) and $258.55 million in FY2021 (-3.9%).
- Five-year quarterly Total Current Liabilities spans a low of $138.53 million in Q4 2025 and a high of $258.55 million in Q4 2021.
- Year over year, Total Current Liabilities has now declined in each of the last three quarters, with an average decline of 11.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2021 (growth of 18.0%); the low point was Q3 2024 (a decline of 22.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $143.87 million (Q1 2026), $138.53 million (Q4 2025) and $155.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | TrueBlue | 280.08 Mn | 188.30 Mn | 91.58 Mn | 139.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 139.36 Mn |
| Mar 29, 2026 | 143.87 Mn |
| Dec 28, 2025 | 138.53 Mn |
| Sep 28, 2025 | 155.70 Mn |
| Jun 29, 2025 | 148.06 Mn |
| Mar 30, 2025 | 156.32 Mn |
| Dec 29, 2024 | 160.13 Mn |
| Sep 29, 2024 | 154.58 Mn |
| Jun 30, 2024 | 157.99 Mn |
| Mar 31, 2024 | 183.96 Mn |
| Dec 31, 2023 | 204.10 Mn |
| Sep 24, 2023 | 200.57 Mn |
| Jun 25, 2023 | 199.20 Mn |
| Mar 26, 2023 | 214.90 Mn |
| Dec 25, 2022 | 242.88 Mn |
| Sep 25, 2022 | 223.07 Mn |
| Jun 26, 2022 | 232.82 Mn |
| Mar 27, 2022 | 225.90 Mn |
| Dec 26, 2021 | 258.55 Mn |
| Sep 26, 2021 | 238.78 Mn |
TrueBlue Total 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-current-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();