Wingstop (WING) Goodwill (2014 - 2026)
Wingstop's (WING) quarterly Goodwill came in at $83.9 million in Q2 2026, up 5.89% on a YoY basis from $79.2 million in Q2 2025, and little changed quarter-over-quarter from $83.9 million in Q1 2026.
Wingstop (WING) Goodwill (2014 - 2026) Analysis & Trends
Wingstop (WING) has reported Goodwill for 13 consecutive years, with $83.9 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Goodwill rose 5.89% year-over-year to $83.9 million; the trailing twelve-month figure through Jun 2026 stood at $83.9 million (up 5.89% YoY), and the FY2025 full-year result was $83.9 million, up 12.26% from the prior year.
- Goodwill was little changed at $83.9 million in Q2 2026 per WING's latest filing, from $83.9 million in the prior quarter.
- Across five years, Goodwill topped out at $83.9 million in Q4 2025 and bottomed at $56.9 million in Q1 2022.
- Historically, Goodwill has averaged $70.3 million across 5 years, with a median of $68.2 million in 2023.
- The sharpest annual moves came in 2022 and 2025: Goodwill climbed 2.98% in 2022, then climbed 15.24% in 2025.
- Over 5 years, Goodwill stood at $62.5 million in 2022, then gained by 8.31% to $67.7 million in 2023, then gained by 10.35% to $74.7 million in 2024, then rose by 12.26% to $83.9 million in 2025, then changed by 0.0% to $83.9 million in 2026.
- According to Business Quant data, Goodwill over the past three periods registered $83.9 million, $83.9 million, and $83.9 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 27, 2026 | 83.88 Mn |
| Mar 28, 2026 | 83.88 Mn |
| Dec 27, 2025 | 83.88 Mn |
| Sep 27, 2025 | 79.21 Mn |
| Jun 28, 2025 | 79.21 Mn |
| Mar 29, 2025 | 74.72 Mn |
| Dec 28, 2024 | 74.72 Mn |
| Sep 28, 2024 | 74.75 Mn |
| Jun 29, 2024 | 68.73 Mn |
| Mar 30, 2024 | 67.71 Mn |
| Dec 30, 2023 | 67.71 Mn |
| Sep 30, 2023 | 65.18 Mn |
| Jul 1, 2023 | 65.18 Mn |
| Apr 1, 2023 | 62.51 Mn |
| Dec 31, 2022 | 62.51 Mn |
| Sep 24, 2022 | 58.57 Mn |
| Jun 25, 2022 | 56.88 Mn |
| Mar 26, 2022 | 56.88 Mn |
| Dec 25, 2021 | 56.88 Mn |
| Sep 25, 2021 | 56.88 Mn |
Wingstop Goodwill 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=goodwill&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();