Unifirst (UNF) Total Current Liabilities (2009 - 2026)
Unifirst's Total Current Liabilities came in at $308.28 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), up 6.2% from $290.4 million a year earlier and up 4.3% from the prior quarter.
Unifirst (UNF) Total Current Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Unifirst's Total Current Liabilities data covers 65 quarters.
- Total Current Liabilities has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $290.4 million in FY2025 (+3.2%), $281.44 million in FY2024 (+5.3%), $267.23 million in FY2023 (+9.6%) and $243.75 million in FY2022 (-4.3%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2022 (growth of 16.2%), and the weakest in fiscal Q2 2023 (a decline of 7.2%).
- Business Quant data shows UNF's Total Current Liabilities at $295.69 million (Q3 2026), $290.41 million (Q2 2026) and $263.95 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 22.30 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 2.70 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 3.79 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 986.64 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 2.87 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 850.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 3.00 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | -6.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 3.52 Bn |
| 10 | Unifirst | 4.33 Bn | 3.68 Bn | 241.12 Mn | 308.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 308.28 Mn |
| May 30, 2026 | 295.69 Mn |
| Feb 28, 2026 | 290.41 Mn |
| Nov 29, 2025 | 263.95 Mn |
| Aug 30, 2025 | 290.40 Mn |
| May 31, 2025 | 266.95 Mn |
| Mar 1, 2025 | 277.56 Mn |
| Nov 30, 2024 | 260.90 Mn |
| Aug 31, 2024 | 281.44 Mn |
| May 25, 2024 | 269.82 Mn |
| Feb 24, 2024 | 262.86 Mn |
| Nov 25, 2023 | 258.79 Mn |
| Aug 26, 2023 | 267.23 Mn |
| May 27, 2023 | 258.93 Mn |
| Feb 25, 2023 | 232.14 Mn |
| Nov 26, 2022 | 242.77 Mn |
| Aug 27, 2022 | 243.75 Mn |
| May 28, 2022 | 246.72 Mn |
| Feb 26, 2022 | 250.05 Mn |
| Nov 27, 2021 | 246.01 Mn |
Unifirst Total Current 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-current-liabilities&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();