Unifirst (UNF) Accumulated Expenses (2009 - 2026)
Unifirst's Accumulated Expenses came in at $194.76 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), up 10.1% from $176.9 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Unifirst (UNF) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Unifirst's Accumulated Expenses data covers 65 quarters.
- Accumulated Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $176.9 million in FY2025 (+3.9%), $170.24 million in FY2024 (+8.8%), $156.41 million in FY2023 (+6.5%) and $146.81 million in FY2022 (-8.0%).
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2024 (growth of 15.6%), and the weakest in fiscal Q2 2023 (a decline of 9.6%).
- Business Quant data shows UNF's Accumulated Expenses at $185.31 million (Q3 2026), $178.07 million (Q2 2026) and $154.41 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Unifirst | 4.33 Bn | 3.68 Bn | 241.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 194.76 Mn |
| May 30, 2026 | 185.31 Mn |
| Feb 28, 2026 | 178.07 Mn |
| Nov 29, 2025 | 154.41 Mn |
| Aug 30, 2025 | 176.90 Mn |
| May 31, 2025 | 172.72 Mn |
| Mar 1, 2025 | 170.78 Mn |
| Nov 30, 2024 | 156.45 Mn |
| Aug 31, 2024 | 170.24 Mn |
| May 25, 2024 | 165.39 Mn |
| Feb 24, 2024 | 158.48 Mn |
| Nov 25, 2023 | 155.42 Mn |
| Aug 26, 2023 | 156.41 Mn |
| May 27, 2023 | 150.92 Mn |
| Feb 25, 2023 | 137.11 Mn |
| Nov 26, 2022 | 143.66 Mn |
| Aug 27, 2022 | 146.81 Mn |
| May 28, 2022 | 152.38 Mn |
| Feb 26, 2022 | 151.74 Mn |
| Nov 27, 2021 | 154.65 Mn |
API Access
Unifirst Accumulated 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=accumulated-expenses&ticker=UNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();