Gap (GAP) Return on Sales [ROS] (2009 - 2026)
Gap (GAP) recorded Return on Sales [ROS] of 18.52% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.68 percentage points from 7.84% a year earlier and up 5.79 percentage points from the prior quarter.
Gap (GAP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Gap's Return on Sales [ROS] came in at 10.99% as of Aug 1, 2026, up 3.30 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 7.26%, down 0.11 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +13.50 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 7.37% in FY2025 (+3.61 pp), 3.76% in FY2024 (+4.20 pp), -0.44% in FY2023 (-5.30 pp) and 4.86% in FY2022 (+11.11 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q4 2009.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +2.45 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 10.68 percentage points in fiscal Q2 2027, against a drop of 11.68 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 12.73% (Q1 2027), 5.41% (Q4 2026) and 8.47% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 20.15% |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 9.22% |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 9.65% |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 19.08% |
| 10 | Gap | 8.15 Bn | -2.41 Bn | 1.93 Bn | 18.52% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 18.52% |
| May 2, 2026 | 12.73% |
| Jan 31, 2026 | 5.41% |
| Nov 1, 2025 | 8.47% |
| Aug 2, 2025 | 7.84% |
| May 3, 2025 | 7.51% |
| Feb 1, 2025 | 6.24% |
| Nov 2, 2024 | 9.27% |
| Aug 3, 2024 | 7.88% |
| May 4, 2024 | 6.05% |
| Feb 3, 2024 | 4.98% |
| Oct 28, 2023 | 6.64% |
| Jul 29, 2023 | 2.99% |
| Apr 29, 2023 | -0.31% |
| Jan 28, 2023 | -0.71% |
| Oct 29, 2022 | 4.61% |
| Jul 30, 2022 | -0.73% |
| Apr 30, 2022 | -5.67% |
| Jan 29, 2022 | 0.18% |
| Oct 30, 2021 | 3.88% |
Gap 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=GAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GAP", "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=GAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();