Unifirst (UNF) Cash & Equivalents (2009 - 2026)
Unifirst (UNF) reported Cash & Equivalents of $163.23 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 23.0% from $211.91 million a year earlier but up 7.5% from the prior quarter.
Unifirst (UNF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Unifirst posted Cash & Equivalents of $203.5 million, up 26.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $161.57 million in FY2024 (+103.4%), $79.44 million in FY2023 (-78.9%), $376.4 million in FY2022 (-26.6%) and $512.87 million in FY2021 (+8.0%).
- Five-year quarterly Cash & Equivalents spans a low of $59.3 million in fiscal Q3 2023 and a high of $512.87 million in fiscal Q4 2021.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with growth averaging 47.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2025 (growth of 114.8%); the low point was fiscal Q4 2023 (a decline of 78.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $151.79 million (Q2 2026), $123.98 million (Q1 2026) and $203.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.38 Bn | 108.66 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 89.37 Bn | 88.45 Bn | 1.55 Bn | 243.60 Mn |
| 3 | Iron Mountain | 33.14 Bn | 32.33 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 16.92 Bn | 13.95 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Rollins | 16.58 Bn | 16.13 Bn | 582.90 Mn | 129.05 Mn |
| 6 | Gartner | 15.25 Bn | 8.94 Bn | 1.19 Bn | 1.49 Bn |
| 7 | UL Solutions | 14.69 Bn | 13.45 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Aramark | 13.82 Bn | 11.76 Bn | 430.34 Mn | 499.43 Mn |
| 9 | Rentokil Initial | 11.42 Bn | 4.94 Bn | - | 2.47 Bn |
| 10 | Unifirst | 5.09 Bn | 4.42 Bn | 234.73 Mn | 163.23 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 163.23 Mn |
| Feb 28, 2026 | 151.79 Mn |
| Nov 29, 2025 | 123.98 Mn |
| Aug 30, 2025 | 203.50 Mn |
| May 31, 2025 | 211.91 Mn |
| Mar 1, 2025 | 192.17 Mn |
| Nov 30, 2024 | 166.25 Mn |
| Aug 31, 2024 | 161.57 Mn |
| May 25, 2024 | 112.25 Mn |
| Feb 24, 2024 | 90.54 Mn |
| Nov 25, 2023 | 77.38 Mn |
| Aug 26, 2023 | 79.44 Mn |
| May 27, 2023 | 59.30 Mn |
| Feb 25, 2023 | 244.10 Mn |
| Nov 26, 2022 | 244.17 Mn |
| Aug 27, 2022 | 376.40 Mn |
| Aug 28, 2021 | 512.87 Mn |
| Aug 29, 2020 | 474.84 Mn |
| May 27, 2017 | 312.68 Mn |
| Feb 25, 2017 | 313.54 Mn |
Unifirst Cash & Equivalents 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=cash-and-equivalents&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();