Unifirst (UNF) Operating Expenses (2009 - 2026)
Unifirst (UNF) reported Operating Expenses of $611.37 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 8.7% from $562.6 million a year earlier and up 2.5% from the prior quarter.
Unifirst (UNF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended May 30, 2026, Unifirst's Operating Expenses came in at $2.35 billion, up 3.5% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $2.25 billion, up 0.2% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $2.24 billion in FY2024 (+6.9%), $2.1 billion in FY2023 (+12.5%), $1.87 billion in FY2022 (+14.5%) and $1.63 billion in FY2021 (-0.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 3.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 16.5%); the low point was fiscal Q4 2025 (a decline of 3.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $596.49 million (Q2 2026), $576.01 million (Q1 2026) and $564.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Unifirst | 4.82 Bn | 4.15 Bn | 234.73 Mn | 611.37 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 611.37 Mn |
| Feb 28, 2026 | 596.49 Mn |
| Nov 29, 2025 | 576.01 Mn |
| Aug 30, 2025 | 564.87 Mn |
| May 31, 2025 | 562.60 Mn |
| Mar 1, 2025 | 571.01 Mn |
| Nov 30, 2024 | 549.38 Mn |
| Aug 31, 2024 | 585.82 Mn |
| May 25, 2024 | 554.88 Mn |
| Feb 24, 2024 | 562.77 Mn |
| Nov 25, 2023 | 540.39 Mn |
| Aug 26, 2023 | 535.81 Mn |
| May 27, 2023 | 543.27 Mn |
| Feb 25, 2023 | 521.98 Mn |
| Nov 26, 2022 | 498.38 Mn |
| Aug 27, 2022 | 483.16 Mn |
| May 28, 2022 | 477.85 Mn |
| Feb 26, 2022 | 464.08 Mn |
| Nov 27, 2021 | 441.37 Mn |
| Aug 28, 2021 | 420.35 Mn |
Unifirst 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=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UNF", "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=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();