Wingstop (WING) Price to Earnings (2015 - 2026)
Wingstop's (WING) quarterly Price to Earnings came in at 145.36 in Q2 2026, down 59.92% on a YoY basis from 362.69 in Q2 2025, and up 3.23% quarter-over-quarter from 140.81 in Q1 2026.
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Wingstop (WING) Price to Earnings (2015 - 2026) Analysis & Trends
Wingstop (WING) has reported Price to Earnings for 12 consecutive years, with 145.36 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 59.92% year-over-year to 145.36; the trailing twelve-month figure through Jun 2026 stood at 39.05 (down 31.02% YoY), and the FY2025 full-year result was 40.49, down 46.19% from the prior year.
- Price to Earnings rose to 145.36 in Q2 2026 per WING's latest filing, from 140.81 in the prior quarter.
- Across five years, Price to Earnings topped out at 467.88 in Q3 2024 and bottomed at 67.74 in Q1 2025.
- Historically, Price to Earnings has averaged 294.09 across 5 years, with a median of 293.22 in 2022.
- The sharpest annual moves came in 2025 and 2026: Price to Earnings slumped 81.94% in 2025, then surged 107.86% in 2026.
- Over 5 years, Price to Earnings stood at 234.05 in 2022, then soared by 70.57% to 399.23 in 2023, then declined by 23.42% to 305.74 in 2024, then declined by 13.83% to 263.47 in 2025, then slumped by 44.83% to 145.36 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 145.36, 140.81, and 263.47 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 | 145.36 |
| Mar 28, 2026 | 140.81 |
| Dec 27, 2025 | 263.47 |
| Sep 27, 2025 | 241.82 |
| Jun 28, 2025 | 362.69 |
| Mar 29, 2025 | 67.74 |
| Dec 28, 2024 | 305.74 |
| Sep 28, 2024 | 467.88 |
| Jun 29, 2024 | 450.64 |
| Mar 30, 2024 | 374.99 |
| Dec 30, 2023 | 399.23 |
| Sep 30, 2023 | 271.13 |
| Jul 1, 2023 | 371.35 |
| Apr 1, 2023 | 351.12 |
| Dec 31, 2022 | 234.05 |
| Sep 24, 2022 | 280.70 |
| Jun 25, 2022 | 188.53 |
| Mar 26, 2022 | 376.44 |
| Dec 25, 2021 | 744.95 |
| Sep 25, 2021 | 479.48 |
API Access
Wingstop Price to Earnings 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-earnings&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();