Unifirst (UNF) Other Operating Expenses (2009 - 2026)
Unifirst's Other Operating Expenses was $435.45 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 3.7% from $419.91 million a year earlier but down 0.8% from the prior quarter.
Unifirst (UNF) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Unifirst's Other Operating Expenses was $1.72 billion through May 30, 2026, up 0.5% year-over-year; for FY2025 (ended Aug 30, 2025), it was $1.68 billion, down 2.2% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $1.72 billion in FY2024 (+7.4%), $1.6 billion in FY2023 (+13.2%), $1.42 billion in FY2022 (+13.5%) and $1.25 billion in FY2021 (-1.8%).
- Quarterly Other Operating Expenses has moved between $316.19 million (fiscal Q4 2021) and $446.58 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for three straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q3 2022 (growth of 15.5%); the worst was fiscal Q4 2025 (a decline of 6.4%).
- Per Business Quant data, UNF's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $439.08 million (Q2 2026), $428.2 million (Q1 2026) and $417.89 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Unifirst | 4.53 Bn | 3.87 Bn | 234.73 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 435.45 Mn |
| Feb 28, 2026 | 439.08 Mn |
| Nov 29, 2025 | 428.20 Mn |
| Aug 30, 2025 | 417.89 Mn |
| May 31, 2025 | 419.91 Mn |
| Mar 1, 2025 | 429.09 Mn |
| Nov 30, 2024 | 415.86 Mn |
| Aug 31, 2024 | 446.58 Mn |
| May 25, 2024 | 425.80 Mn |
| Feb 24, 2024 | 431.35 Mn |
| Nov 25, 2023 | 417.53 Mn |
| Aug 26, 2023 | 411.13 Mn |
| May 27, 2023 | 410.59 Mn |
| Feb 25, 2023 | 399.79 Mn |
| Nov 26, 2022 | 381.02 Mn |
| Aug 27, 2022 | 364.91 Mn |
| May 28, 2022 | 361.66 Mn |
| Feb 26, 2022 | 351.68 Mn |
| Nov 27, 2021 | 336.99 Mn |
| Aug 28, 2021 | 316.19 Mn |
Unifirst Other 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=other-operating-expenses&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();