Unifirst (UNF) Receivables (2010 - 2026)
Unifirst's Receivables was $295.58 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 4.9% from $281.82 million a year earlier and up 1.4% from the prior quarter.
Unifirst (UNF) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Receivables at Unifirst came in at $285.3 million, up 2.3% from FY2024.
- Receivables shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In earlier fiscal years, Receivables was $278.85 million in FY2024 (-0.1%), $279.08 million in FY2023 (+12.0%), $249.2 million in FY2022 (+19.6%) and $208.33 million in FY2021 (+9.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Receivables since fiscal Q1 2024.
- Compared with a year earlier, Receivables has increased for four straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q3 2022 (growth of 20.5%); the worst was fiscal Q1 2025 (a decline of 6.0%).
- Per Business Quant data, UNF's Receivables in the three fiscal quarters before Q3 2026 was $291.58 million (Q2 2026), $293.4 million (Q1 2026) and $285.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.69 Bn | 106.97 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 85.79 Bn | 84.87 Bn | 1.55 Bn | 1.59 Bn |
| 3 | Iron Mountain | 33.40 Bn | 32.59 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 17.18 Bn | 14.21 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 15.89 Bn | 15.43 Bn | 569.95 Mn | 238.99 Mn |
| 6 | UL Solutions | 14.82 Bn | 13.58 Bn | 417.00 Mn | 710.00 Mn |
| 7 | Aramark | 14.68 Bn | 12.63 Bn | 430.34 Mn | 2.58 Bn |
| 8 | Gartner | 14.39 Bn | 8.08 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.72 Bn | 4.24 Bn | - | - |
| 10 | Unifirst | 4.83 Bn | 4.16 Bn | 234.73 Mn | 295.58 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 295.58 Mn |
| Feb 28, 2026 | 291.58 Mn |
| Nov 29, 2025 | 293.40 Mn |
| Aug 30, 2025 | 285.30 Mn |
| May 31, 2025 | 281.82 Mn |
| Mar 1, 2025 | 282.21 Mn |
| Nov 30, 2024 | 281.54 Mn |
| Aug 31, 2024 | 278.85 Mn |
| May 25, 2024 | 284.36 Mn |
| Feb 24, 2024 | 291.78 Mn |
| Nov 25, 2023 | 299.49 Mn |
| Aug 26, 2023 | 279.08 Mn |
| May 27, 2023 | 279.49 Mn |
| Feb 25, 2023 | 276.56 Mn |
| Nov 26, 2022 | 272.84 Mn |
| Aug 27, 2022 | 249.20 Mn |
| May 28, 2022 | 241.16 Mn |
| Feb 26, 2022 | 237.24 Mn |
| Nov 27, 2021 | 233.58 Mn |
| Aug 28, 2021 | 208.33 Mn |
Unifirst Receivables 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=receivables&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();