Unifirst (UNF) Inventory (2010 - 2026)
Unifirst (UNF) reported Inventory of $148.5 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 0.2% from $148.85 million a year earlier but up 0.7% from the prior quarter.
Unifirst (UNF) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Unifirst posted Inventory of $145.2 million, down 7.5% from FY2024.
- Inventory has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $156.91 million in FY2024 (+5.8%), $148.33 million in FY2023 (-2.1%), $151.46 million in FY2022 (+5.5%) and $143.59 million in FY2021 (+35.1%).
- Five-year quarterly Inventory spans a low of $142.89 million in fiscal Q1 2026 and a high of $161.49 million in fiscal Q3 2024.
- Year over year, Inventory has now declined in each of the last five quarters, with an average decline of 2.5% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q1 2022 (growth of 51.3%); the low point was fiscal Q1 2023 (a decline of 9.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $147.48 million (Q2 2026), $142.89 million (Q1 2026) and $145.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 148.56 Bn | 107.84 Bn | 6.13 Bn | - |
| 2 | Cintas | 86.06 Bn | 85.14 Bn | 1.55 Bn | 433.29 Mn |
| 3 | Iron Mountain | 33.22 Bn | 32.41 Bn | 1.07 Bn | - |
| 4 | APi | 17.16 Bn | 14.19 Bn | 703.00 Mn | 172.00 Mn |
| 5 | Rollins | 15.99 Bn | 15.53 Bn | 569.95 Mn | 42.81 Mn |
| 6 | UL Solutions | 14.84 Bn | 13.60 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.71 Bn | 12.66 Bn | 430.34 Mn | 433.62 Mn |
| 8 | Gartner | 14.31 Bn | 8.00 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.75 Bn | 4.27 Bn | - | 314.00 Mn |
| 10 | Unifirst | 4.83 Bn | 4.17 Bn | 234.73 Mn | 148.50 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 148.50 Mn |
| Feb 28, 2026 | 147.48 Mn |
| Nov 29, 2025 | 142.89 Mn |
| Aug 30, 2025 | 145.20 Mn |
| May 31, 2025 | 148.85 Mn |
| Mar 1, 2025 | 159.07 Mn |
| Nov 30, 2024 | 155.10 Mn |
| Aug 31, 2024 | 156.91 Mn |
| May 25, 2024 | 161.49 Mn |
| Feb 24, 2024 | 158.28 Mn |
| Nov 25, 2023 | 148.51 Mn |
| Aug 26, 2023 | 148.33 Mn |
| May 27, 2023 | 150.25 Mn |
| Feb 25, 2023 | 150.91 Mn |
| Nov 26, 2022 | 143.43 Mn |
| Aug 27, 2022 | 151.46 Mn |
| May 28, 2022 | 151.74 Mn |
| Feb 26, 2022 | 160.84 Mn |
| Nov 27, 2021 | 158.11 Mn |
| Aug 28, 2021 | 143.59 Mn |
Unifirst Inventory 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=inventory&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();