Brinker International (EAT) Cash & Equivalents (2009 - 2026)
Brinker International (EAT) posted Cash & Equivalents of $110 million for fiscal Q4 2026 (quarter ended Jun 24, 2026), up 482.0% from $18.9 million a year earlier and up 92.6% from the prior quarter.
Brinker International (EAT) Cash & Equivalents (2009 - 2026) Analysis & Trends
Since fiscal Q1 2010, Brinker International has reported Cash & Equivalents for 68 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 35.7% (FY2021 to FY2026).
- In prior fiscal years, Brinker International's Cash & Equivalents was $18.9 million in FY2025 (-70.7%), $64.6 million in FY2024 (+327.8%), $15.1 million in FY2023 (+11.9%) and $13.5 million in FY2022 (-43.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q3 2020.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 92.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2026, with growth of 482.0%; the weakest was fiscal Q3 2022, with a decline of 79.7%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $57.1 million (Q3 2026), $15 million (Q2 2026) and $33.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Brinker International | 8.93 Bn | 8.71 Bn | 1.14 Bn | 110.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 24, 2026 | 110.00 Mn |
| Mar 25, 2026 | 57.10 Mn |
| Dec 24, 2025 | 15.00 Mn |
| Sep 24, 2025 | 33.60 Mn |
| Jun 25, 2025 | 18.90 Mn |
| Mar 26, 2025 | 17.50 Mn |
| Dec 25, 2024 | 14.80 Mn |
| Sep 25, 2024 | 16.20 Mn |
| Jun 26, 2024 | 64.60 Mn |
| Mar 27, 2024 | 15.50 Mn |
| Dec 27, 2023 | 22.70 Mn |
| Sep 27, 2023 | 14.40 Mn |
| Jun 28, 2023 | 15.10 Mn |
| Mar 29, 2023 | 13.80 Mn |
| Dec 28, 2022 | 14.70 Mn |
| Sep 28, 2022 | 19.50 Mn |
| Jun 29, 2022 | 13.50 Mn |
| Mar 30, 2022 | 12.90 Mn |
| Dec 29, 2021 | 15.60 Mn |
| Sep 29, 2021 | 31.20 Mn |
Brinker International 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=EAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "EAT", "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=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();