Five Below (FIVE) Return on Sales [ROS] (2011 - 2026)
Five Below (FIVE) recorded Return on Sales [ROS] of 21.83% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 16.73 percentage points from 5.10% a year earlier and up 9.83 percentage points from the prior quarter.
Five Below (FIVE) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Five Below's Return on Sales [ROS] came in at 14.75% as of Aug 1, 2026, up 6.49 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 9.60%, up 1.25 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +1.71 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 8.35% in FY2025 (-2.48 pp), 10.83% in FY2024 (-0.38 pp), 11.22% in FY2023 (-2.12 pp) and 13.34% in FY2022 (+5.45 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2012.
- On a year-over-year basis, Return on Sales [ROS] has increased for six consecutive quarters, with an average year-over-year change of +3.03 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 16.73 percentage points in fiscal Q2 2027, against a drop of 4.95 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 12.00% (Q1 2027), 17.99% (Q4 2026) and 4.17% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,715.19 Bn | 2,231.89 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 322.27 Bn | 315.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 162.16 Bn | 139.71 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 113.53 Bn | 106.49 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 74.91 Bn | 74.00 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 74.55 Bn | 57.48 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 70.59 Bn | 65.18 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.95 Bn | 51.85 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 42.09 Bn | 32.58 Bn | 1.38 Bn | 9.22% |
| 10 | Five Below | 12.35 Bn | 8.59 Bn | 612.42 Mn | 21.83% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 21.83% |
| May 2, 2026 | 12.00% |
| Jan 31, 2026 | 17.99% |
| Nov 1, 2025 | 4.17% |
| Aug 2, 2025 | 5.10% |
| May 3, 2025 | 5.24% |
| Feb 1, 2025 | 17.74% |
| Nov 2, 2024 | -0.07% |
| Aug 3, 2024 | 5.00% |
| May 4, 2024 | 4.45% |
| Feb 3, 2024 | 20.07% |
| Oct 28, 2023 | 2.19% |
| Jul 29, 2023 | 7.72% |
| Apr 29, 2023 | 5.84% |
| Jan 28, 2023 | 20.11% |
| Oct 29, 2022 | 3.25% |
| Jul 30, 2022 | 8.37% |
| Apr 30, 2022 | 6.62% |
| Jan 29, 2022 | 18.83% |
| Oct 30, 2021 | 6.99% |
Five Below Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FIVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FIVE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=FIVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();