TrueBlue (TBI) Operating Expenses (2009 - 2026)
TrueBlue's Operating Expenses was $83.83 million in Q2 2026, down 6.6% from $89.8 million a year earlier and down 4.0% from the prior quarter.
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Analysis
TrueBlue (TBI) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, TrueBlue's Operating Expenses was $357.8 million through Jun 28, 2026, down 8.6% year-over-year; for FY2025, it was $371.09 million, down 9.7% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $410.87 million in FY2024 (-16.9%), $494.6 million in FY2023 (-1.2%), $500.69 million in FY2022 (+7.8%) and $464.32 million in FY2021 (+13.7%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q4 2012.
- Compared with a year earlier, Operating Expenses has declined for 13 straight quarters, with an average decline of 11.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 32.8%); the worst was Q2 2024 (a decline of 20.0%).
- Per Business Quant data, TBI's Operating Expenses in the three quarters before Q2 2026 was $87.3 million (Q1 2026), $94.94 million (Q4 2025) and $91.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | TrueBlue | 280.08 Mn | 188.30 Mn | 91.58 Mn | 83.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 83.83 Mn |
| Mar 29, 2026 | 87.30 Mn |
| Dec 28, 2025 | 94.94 Mn |
| Sep 28, 2025 | 91.73 Mn |
| Jun 29, 2025 | 89.80 Mn |
| Mar 30, 2025 | 94.62 Mn |
| Dec 29, 2024 | 106.94 Mn |
| Sep 29, 2024 | 99.97 Mn |
| Jun 30, 2024 | 97.02 Mn |
| Mar 31, 2024 | 106.94 Mn |
| Dec 31, 2023 | 129.96 Mn |
| Sep 24, 2023 | 120.72 Mn |
| Jun 25, 2023 | 121.28 Mn |
| Mar 26, 2023 | 122.65 Mn |
| Dec 25, 2022 | 133.73 Mn |
| Sep 25, 2022 | 124.35 Mn |
| Jun 26, 2022 | 122.03 Mn |
| Mar 27, 2022 | 120.57 Mn |
| Dec 26, 2021 | 137.67 Mn |
| Sep 26, 2021 | 118.75 Mn |
API Access
TrueBlue Operating Expenses 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=operating-expenses&ticker=TBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();