Wingstop (WING) Price to Sales (2015 - 2026)
Wingstop's (WING) quarterly Price to Sales came in at 24.48 in Q2 2026, down 56.03% on a YoY basis from 55.68 in Q2 2025, and up 6.92% quarter-over-quarter from 22.89 in Q1 2026.
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Analysis
Wingstop (WING) Price to Sales (2015 - 2026) Analysis & Trends
Wingstop (WING) has reported Price to Sales for 12 consecutive years, with 24.48 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales fell 56.03% year-over-year to 24.48; the trailing twelve-month figure through Jun 2026 stood at 6.3 (down 56.51% YoY), and the FY2025 full-year result was 10.12, down 22.53% from the prior year.
- Price to Sales advanced to 24.48 in Q2 2026 per WING's latest filing, from 22.89 in the prior quarter.
- Across five years, Price to Sales topped out at 79.55 in Q2 2024 and bottomed at 22.89 in Q1 2026.
- Historically, Price to Sales has averaged 47.78 across 5 years, with a median of 43.92 in 2023.
- The sharpest annual moves came in 2023 and 2026: Price to Sales jumped 87.6% in 2023, then sank 56.03% in 2026.
- Over 5 years, Price to Sales stood at 39.28 in 2022, then jumped by 50.82% to 59.25 in 2023, then dropped by 14.68% to 50.55 in 2024, then retreated by 20.55% to 40.16 in 2025, then tumbled by 39.04% to 24.48 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 24.48, 22.89, and 40.16 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.48 |
| Mar 28, 2026 | 22.89 |
| Dec 27, 2025 | 40.16 |
| Sep 27, 2025 | 39.12 |
| Jun 28, 2025 | 55.68 |
| Mar 29, 2025 | 36.53 |
| Dec 28, 2024 | 50.55 |
| Sep 28, 2024 | 73.96 |
| Jun 29, 2024 | 79.55 |
| Mar 30, 2024 | 73.81 |
| Dec 30, 2023 | 59.25 |
| Sep 30, 2023 | 45.17 |
| Jul 1, 2023 | 55.99 |
| Apr 1, 2023 | 50.60 |
| Dec 31, 2022 | 39.28 |
| Sep 24, 2022 | 40.43 |
| Jun 25, 2022 | 29.84 |
| Mar 26, 2022 | 42.66 |
| Dec 25, 2021 | 71.65 |
| Sep 25, 2021 | 82.29 |
API Access
Wingstop Price to Sales 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=price-to-sales&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "WING", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();