Wingstop (WING) Revenue (2014 - 2026)
Wingstop's Revenue was $185.56 million in Q2 2026, up 6.4% from $174.33 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Wingstop (WING) Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wingstop's Revenue was $720.72 million through Jun 27, 2026, up 7.6% year-over-year; for FY2025, it came in at $696.85 million, up 11.4% from FY2024.
- Revenue has now increased for 12 consecutive years, with a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- In earlier years, Revenue was $625.81 million in FY2024 (+36.0%), $460.06 million in FY2023 (+28.7%), $357.52 million in FY2022 (+26.6%) and $282.5 million in FY2021 (+13.5%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q2 2014.
- Compared with a year earlier, Revenue has increased for 45 straight quarters, with growth averaging 15.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 2.8% (Q3 2021) to 45.6% (Q4 2022).
- Per Business Quant data, WING's Revenue in the three quarters before Q2 2026 was $183.73 million (Q1 2026), $175.69 million (Q4 2025) and $175.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.68 Bn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 185.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 185.56 Mn |
| Mar 28, 2026 | 183.73 Mn |
| Dec 27, 2025 | 175.69 Mn |
| Sep 27, 2025 | 175.74 Mn |
| Jun 28, 2025 | 174.33 Mn |
| Mar 29, 2025 | 171.09 Mn |
| Dec 28, 2024 | 161.82 Mn |
| Sep 28, 2024 | 162.50 Mn |
| Jun 29, 2024 | 155.70 Mn |
| Mar 30, 2024 | 145.79 Mn |
| Dec 30, 2023 | 127.06 Mn |
| Sep 30, 2023 | 117.10 Mn |
| Jul 1, 2023 | 107.17 Mn |
| Apr 1, 2023 | 108.72 Mn |
| Dec 31, 2022 | 104.87 Mn |
| Sep 24, 2022 | 92.67 Mn |
| Jun 25, 2022 | 83.78 Mn |
| Mar 26, 2022 | 76.21 Mn |
| Dec 25, 2021 | 72.03 Mn |
| Sep 25, 2021 | 65.78 Mn |
API Access
Wingstop Revenue 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=revenue&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();