Wingstop (WING) Cash & Equivalents (2014 - 2026)
Wingstop (WING) reported Cash & Equivalents of $104.79 million for Q3 2026, down 55.9% from $237.64 million a year earlier and down 17.8% from the prior quarter.
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Analysis
Wingstop (WING) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Wingstop posted Cash & Equivalents of $196.57 million, down 37.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 36.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $315.91 million in FY2024 (+250.2%), $90.22 million in FY2023 (-51.1%), $184.5 million in FY2022 (+279.8%) and $48.58 million in FY2021 (+18.9%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q3 2024.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with growth averaging 64.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 617.7%); the low point was Q3 2026 (a decline of 55.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $127.46 million (Q2 2026), $128.82 million (Q1 2026) and $196.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | 202.43 Mn |
| 10 | Wingstop | 4.48 Bn | 3.93 Bn | 157.92 Mn | 104.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 104.79 Mn |
| Jun 27, 2026 | 127.46 Mn |
| Mar 28, 2026 | 128.82 Mn |
| Dec 27, 2025 | 196.57 Mn |
| Sep 27, 2025 | 237.64 Mn |
| Jun 28, 2025 | 227.94 Mn |
| Mar 29, 2025 | 251.38 Mn |
| Dec 28, 2024 | 315.91 Mn |
| Sep 28, 2024 | 83.96 Mn |
| Jun 29, 2024 | 96.75 Mn |
| Mar 30, 2024 | 108.31 Mn |
| Dec 30, 2023 | 90.22 Mn |
| Sep 30, 2023 | 77.98 Mn |
| Jul 1, 2023 | 188.50 Mn |
| Apr 1, 2023 | 196.20 Mn |
| Dec 31, 2022 | 184.50 Mn |
| Sep 24, 2022 | 173.51 Mn |
| Jun 25, 2022 | 165.82 Mn |
| Mar 26, 2022 | 287.01 Mn |
| Dec 25, 2021 | 48.58 Mn |
API Access
Wingstop Cash & Equivalents 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=cash-and-equivalents&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();