TrueBlue (TBI) Capital Expenditures (2009 - 2026)
TrueBlue's Capital Expenditures came in at $3.37 million for Q2 2026, down 20.7% from $4.26 million a year earlier but up 19.3% from the prior quarter.
TrueBlue (TBI) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, TrueBlue reported Capital Expenditures of $12.95 million, down 34.6% year-over-year; for FY2025, it came in at $15.68 million, down 35.1% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $24.15 million in FY2024 (-22.8%), $31.28 million in FY2023 (+2.1%), $30.63 million in FY2022 (-12.5%) and $35.01 million in FY2021 (+29.3%).
- The five-year range for quarterly Capital Expenditures is $2.83 million (Q1 2026) to $8.9 million (Q3 2021).
- Year-over-year, Capital Expenditures has declined for ten consecutive quarters, with an average decline of 32.5% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2021 (growth of 93.4%), and the weakest in Q4 2021 (a decline of 42.4%).
- Business Quant data shows TBI's Capital Expenditures at $2.83 million (Q1 2026), $3.13 million (Q4 2025) and $3.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | TrueBlue | 280.08 Mn | 188.30 Mn | 91.58 Mn | 3.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.37 Mn |
| Mar 29, 2026 | 2.83 Mn |
| Dec 28, 2025 | 3.13 Mn |
| Sep 28, 2025 | 3.62 Mn |
| Jun 29, 2025 | 4.26 Mn |
| Mar 30, 2025 | 4.68 Mn |
| Dec 29, 2024 | 5.28 Mn |
| Sep 29, 2024 | 5.60 Mn |
| Jun 30, 2024 | 5.90 Mn |
| Mar 31, 2024 | 7.38 Mn |
| Dec 31, 2023 | 8.18 Mn |
| Sep 24, 2023 | 7.36 Mn |
| Jun 25, 2023 | 7.66 Mn |
| Mar 26, 2023 | 8.08 Mn |
| Dec 25, 2022 | 7.94 Mn |
| Sep 25, 2022 | 8.69 Mn |
| Jun 26, 2022 | 8.21 Mn |
| Mar 27, 2022 | 5.78 Mn |
| Dec 26, 2021 | 6.23 Mn |
| Sep 26, 2021 | 8.90 Mn |
TrueBlue Capital Expenditures 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=capital-expenditures&ticker=TBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();