Brinker International (EAT) Total Liabilities (2010 - 2026)
Brinker International's Total Liabilities came in at $2.38 billion for fiscal Q1 2027 (quarter ended Sep 23, 2026), up 0.4% from $2.37 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Brinker International (EAT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 24, 2026), Brinker International's Total Liabilities was $2.37 billion, up 2.8% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $2.31 billion in FY2025 (-9.6%), $2.55 billion in FY2024 (-2.9%), $2.63 billion in FY2023 (-4.4%) and $2.75 billion in FY2022 (+6.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Liabilities since fiscal Q2 2025.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 3.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 6.8%), and the weakest in fiscal Q4 2025 (a decline of 9.6%).
- Business Quant data shows EAT's Total Liabilities at $2.37 billion (Q4 2026), $2.37 billion (Q3 2026) and $2.37 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 197.03 Bn | 191.85 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 121.44 Bn | 109.07 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 45.58 Bn | 42.47 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 45.08 Bn | 41.58 Bn | - | 6.98 Bn |
| 5 | Restaurant Brands International | 27.34 Bn | 23.13 Bn | 1.40 Bn | 19.74 Bn |
| 6 | Darden Restaurants | 25.92 Bn | 25.01 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 19.74 Bn |
| 8 | Yum China Holdings | 17.29 Bn | 10.94 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 12.62 Bn | 11.96 Bn | - | 2.09 Bn |
| 10 | Brinker International | 8.91 Bn | 8.70 Bn | 1.10 Bn | 2.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2026 | 2.38 Bn |
| Jun 24, 2026 | 2.37 Bn |
| Mar 25, 2026 | 2.37 Bn |
| Dec 24, 2025 | 2.37 Bn |
| Sep 24, 2025 | 2.37 Bn |
| Jun 25, 2025 | 2.31 Bn |
| Mar 26, 2025 | 2.31 Bn |
| Dec 25, 2024 | 2.43 Bn |
| Sep 25, 2024 | 2.52 Bn |
| Jun 26, 2024 | 2.55 Bn |
| Mar 27, 2024 | 2.54 Bn |
| Dec 27, 2023 | 2.62 Bn |
| Sep 27, 2023 | 2.63 Bn |
| Jun 28, 2023 | 2.63 Bn |
| Mar 29, 2023 | 2.69 Bn |
| Dec 28, 2022 | 2.79 Bn |
| Sep 28, 2022 | 2.79 Bn |
| Jun 29, 2022 | 2.75 Bn |
| Mar 30, 2022 | 2.77 Bn |
| Dec 29, 2021 | 2.78 Bn |
API Access
Brinker International Total Liabilities 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=total-liabilities&ticker=EAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();