Wingstop (WING) Acquisitions (2020 - 2026)
Wingstop's Acquisitions came in at $32 million for Q3 2026.
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Analysis
Wingstop (WING) Acquisitions (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Wingstop reported Acquisitions of $41.31 million, up 140.3% year-over-year; for FY2025, it came in at $18.53 million, up 31.9% from FY2024.
- Acquisitions has increased in each of the last four years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Acquisitions was $14.05 million in FY2024 (+29.7%), $10.83 million in FY2023 (+38.7%), $7.81 million in FY2022 (+60.2%) and $4.88 million in FY2021 (-27.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 10.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 10.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 32.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 32.00 Mn |
| Dec 27, 2025 | 9.31 Mn |
| Sep 28, 2024 | 10.76 Mn |
| Dec 30, 2023 | 6.44 Mn |
| Dec 31, 2022 | 6.07 Mn |
| Sep 24, 2022 | 1.74 Mn |
| Dec 26, 2020 | 1.10 Mn |
API Access
Wingstop Acquisitions 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=acquisitions&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();