Unifirst (UNF) Total Liabilities (2009 - 2026)
Unifirst's Total Liabilities was $622.65 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 6.4% from $585.24 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Unifirst (UNF) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Total Liabilities at Unifirst came in at $609.2 million, up 3.6% from FY2024.
- Total Liabilities has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $587.9 million in FY2024 (+3.9%), $566.02 million in FY2023 (+10.5%), $512.1 million in FY2022 (+0.8%) and $508.11 million in FY2021 (+11.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Compared with a year earlier, Total Liabilities has increased for 13 straight quarters, with growth averaging 3.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2024 (growth of 14.4%); the worst was fiscal Q2 2023 (a decline of 2.8%).
- Per Business Quant data, UNF's Total Liabilities in the three fiscal quarters before Q3 2026 was $617.11 million (Q2 2026), $590.1 million (Q1 2026) and $609.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.12 Bn | 106.40 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 85.33 Bn | 84.41 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.50 Bn | 32.69 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.25 Bn | 14.29 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 15.87 Bn | 15.42 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.79 Bn | 13.54 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.61 Bn | 12.56 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.27 Bn | 7.96 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.73 Bn | 4.24 Bn | - | - |
| 10 | Unifirst | 4.77 Bn | 4.10 Bn | 234.73 Mn | 622.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 622.65 Mn |
| Feb 28, 2026 | 617.11 Mn |
| Nov 29, 2025 | 590.10 Mn |
| Aug 30, 2025 | 609.20 Mn |
| May 31, 2025 | 585.24 Mn |
| Mar 1, 2025 | 589.81 Mn |
| Nov 30, 2024 | 568.11 Mn |
| Aug 31, 2024 | 587.90 Mn |
| May 25, 2024 | 575.81 Mn |
| Feb 24, 2024 | 571.27 Mn |
| Nov 25, 2023 | 561.88 Mn |
| Aug 26, 2023 | 566.02 Mn |
| May 27, 2023 | 548.65 Mn |
| Feb 25, 2023 | 499.23 Mn |
| Nov 26, 2022 | 508.79 Mn |
| Aug 27, 2022 | 512.10 Mn |
| May 28, 2022 | 506.81 Mn |
| Feb 26, 2022 | 513.62 Mn |
| Nov 27, 2021 | 502.61 Mn |
| Aug 28, 2021 | 508.11 Mn |
API Access
Unifirst Total Liabilities 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=total-liabilities&ticker=UNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();