Unifirst (UNF) Finished Goods (2013 - 2026)
Unifirst's (UNF) quarterly Finished Goods came in at $124.7 million in Q1 2026, down 8.29% on a YoY basis from $136.0 million in Q1 2025, and up 1.4% quarter-over-quarter from $123.0 million in Q4 2025.
Unifirst (UNF) Finished Goods (2013 - 2026) Analysis & Trends
Unifirst (UNF) has reported Finished Goods for 14 consecutive years, with $124.7 million the latest figure, recorded in Q1 2026.
- For the quarter ending Q1 2026, Finished Goods fell 8.29% year-over-year to $124.7 million; the trailing twelve-month figure through Feb 2026 stood at $124.7 million (down 8.29% YoY), and the FY2025 full-year result was $120.1 million, down 8.98% from the prior year.
- Finished Goods rose to $124.7 million in Q1 2026 per UNF's latest filing, from $123.0 million in the prior quarter.
- Across five years, Finished Goods topped out at $137.8 million in Q2 2024 and bottomed at $118.7 million in Q3 2023.
- Historically, Finished Goods has averaged $126.1 million across 5 years, with a median of $124.4 million in 2023.
- The widest YoY moves for Finished Goods: up 49.22% in 2022, down 9.36% in 2022.
- Over 5 years, Finished Goods stood at $119.2 million in 2022, then grew by 4.42% to $124.4 million in 2023, then grew by 6.1% to $132.0 million in 2024, then dropped by 6.84% to $123.0 million in 2025, then increased by 1.4% to $124.7 million in 2026.
- According to Business Quant data, Finished Goods over the past three periods registered $124.7 million, $123.0 million, and $120.1 million for Q1 2026, Q4 2025, and Q3 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 124.73 Mn |
| Nov 29, 2025 | 123.00 Mn |
| Aug 30, 2025 | 120.06 Mn |
| May 31, 2025 | 126.05 Mn |
| Mar 1, 2025 | 136.00 Mn |
| Nov 30, 2024 | 132.03 Mn |
| Aug 31, 2024 | 131.91 Mn |
| May 25, 2024 | 137.78 Mn |
| Feb 24, 2024 | 133.88 Mn |
| Nov 25, 2023 | 124.44 Mn |
| Aug 26, 2023 | 118.74 Mn |
| May 27, 2023 | 120.67 Mn |
| Feb 25, 2023 | 120.98 Mn |
| Nov 26, 2022 | 119.18 Mn |
| Aug 27, 2022 | 122.65 Mn |
| May 28, 2022 | 120.35 Mn |
| Feb 26, 2022 | 130.75 Mn |
| Nov 27, 2021 | 131.49 Mn |
| Aug 28, 2021 | 114.04 Mn |
| May 29, 2021 | 94.55 Mn |
Unifirst Finished Goods 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=finished-goods&ticker=UNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=UNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();