Unifirst (UNF) Accumulated Expenses (2010 - 2026)
Unifirst's (UNF) quarterly Accumulated Expenses came in at $185.3 million in Q2 2026, up 7.29% on a YoY basis from $172.7 million in Q2 2025, and up 4.07% quarter-over-quarter from $178.1 million in Q1 2026.
Unifirst (UNF) Accumulated Expenses (2010 - 2026) Analysis & Trends
Unifirst (UNF) has reported Accumulated Expenses for 17 consecutive years, with $185.3 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 7.29% year-over-year to $185.3 million; the trailing twelve-month figure through May 2026 stood at $185.3 million (up 7.29% YoY), and the FY2025 full-year result was $176.9 million, up 3.91% from the prior year.
- Accumulated Expenses improved to $185.3 million in Q2 2026 per UNF's latest filing, from $178.1 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $185.3 million in Q2 2026 and bottomed at $137.1 million in Q1 2023.
- Historically, Accumulated Expenses has averaged $160.2 million across 5 years, with a median of $156.4 million in 2023.
- The sharpest annual moves came in 2023 and 2024: Accumulated Expenses fell 9.64% in 2023, then rose 15.59% in 2024.
- Over 5 years, Accumulated Expenses stood at $143.7 million in 2022, then advanced by 8.19% to $155.4 million in 2023, then gained by 0.66% to $156.4 million in 2024, then declined by 1.3% to $154.4 million in 2025, then rose by 20.01% to $185.3 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $185.3 million, $178.1 million, and $154.4 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 28, 2021 | 159.58 Mn |
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_KEY
import 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();