Wingstop (WING) Net Income (2014 - 2026)
Wingstop (WING) reported Net Income of $29.1 million for Q3 2026, up 2.2% from $28.48 million a year earlier but down 7.0% from the prior quarter.
Wingstop (WING) Net Income (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Wingstop's Net Income came in at $117.04 million, down 32.8% year-over-year; for FY2025, it came in at $174.27 million, up 60.3% from FY2024.
- Net Income has increased for six consecutive years, with a five-year compound annual growth rate of 49.5% (FY2020 to FY2025).
- By year, Net Income came in at $108.72 million in FY2024 (+54.9%), $70.18 million in FY2023 (+32.5%), $52.95 million in FY2022 (+24.1%) and $42.66 million in FY2021 (+83.0%).
- Five-year quarterly Net Income spans a low of $6.9 million in Q4 2021 and a high of $92.27 million in Q1 2025.
- Year over year, Net Income gained in five of the last eight quarters, with growth averaging 27.8%.
- The high point for year-over-year Net Income in five years was Q1 2025 (growth of 221.0%); the low point was Q1 2026 (a decline of 67.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $31.29 million (Q2 2026), $29.88 million (Q1 2026) and $26.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.05 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 339.87 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 124.51 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 29.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 29.10 Mn |
| Jun 27, 2026 | 31.29 Mn |
| Mar 28, 2026 | 29.88 Mn |
| Dec 27, 2025 | 26.76 Mn |
| Sep 27, 2025 | 28.48 Mn |
| Jun 28, 2025 | 26.76 Mn |
| Mar 29, 2025 | 92.27 Mn |
| Dec 28, 2024 | 26.75 Mn |
| Sep 28, 2024 | 25.73 Mn |
| Jun 29, 2024 | 27.49 Mn |
| Mar 30, 2024 | 28.75 Mn |
| Dec 30, 2023 | 18.81 Mn |
| Sep 30, 2023 | 19.51 Mn |
| Jul 1, 2023 | 16.18 Mn |
| Apr 1, 2023 | 15.67 Mn |
| Dec 31, 2022 | 17.60 Mn |
| Sep 24, 2022 | 13.37 Mn |
| Jun 25, 2022 | 13.31 Mn |
| Mar 26, 2022 | 8.68 Mn |
| Dec 25, 2021 | 6.90 Mn |
Wingstop Net Income 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=net-income&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();