Unifirst (UNF) EBITDA (2009 - 2026)
Unifirst's EBITDA was $58.8 million in fiscal Q3 2026 (quarter ended May 30, 2026), down 29.1% from $82.9 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Unifirst (UNF) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Unifirst's EBITDA was $286.15 million through May 30, 2026, down 13.7% year-over-year; for FY2025 (ended Aug 30, 2025), it was $324.85 million, unchanged from FY2024.
- EBITDA shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $325.01 million in FY2024 (+27.5%), $254.84 million in FY2023 (+4.7%), $243.29 million in FY2022 (-19.4%) and $301.93 million in FY2021 (+8.8%).
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA since fiscal Q2 2023.
- Compared with a year earlier, EBITDA has declined for five straight quarters, with an average decline of 1.6% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2024 (growth of 33.0%); the worst was fiscal Q3 2026 (a decline of 29.1%).
- Per Business Quant data, UNF's EBITDA in the three fiscal quarters before Q3 2026 was $61.41 million (Q2 2026), $80.48 million (Q1 2026) and $85.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 327.51 Mn |
| 10 | Unifirst | 4.33 Bn | 3.68 Bn | 241.12 Mn | 77.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 77.35 Mn |
| May 30, 2026 | 58.80 Mn |
| Feb 28, 2026 | 61.41 Mn |
| Nov 29, 2025 | 80.48 Mn |
| Aug 30, 2025 | 85.46 Mn |
| May 31, 2025 | 82.90 Mn |
| Mar 1, 2025 | 66.16 Mn |
| Nov 30, 2024 | 90.34 Mn |
| Aug 31, 2024 | 92.03 Mn |
| May 25, 2024 | 83.01 Mn |
| Feb 24, 2024 | 63.10 Mn |
| Nov 25, 2023 | 86.87 Mn |
| May 27, 2023 | 64.57 Mn |
| Feb 25, 2023 | 50.61 Mn |
| Nov 26, 2022 | 70.46 Mn |
| May 28, 2022 | 60.72 Mn |
| Feb 26, 2022 | 49.47 Mn |
| Nov 27, 2021 | 71.69 Mn |
| May 29, 2021 | 80.77 Mn |
| Feb 27, 2021 | 67.01 Mn |
API Access
Unifirst EBITDA 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=ebitda&ticker=UNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();