Bloomin' Brands (BLMN) Cash & Equivalents (2011 - 2026)
Bloomin' Brands (BLMN) reported Cash & Equivalents of $66.61 million for Q2 2026, up 32.4% from $50.31 million a year earlier but down 6.6% from the prior quarter.
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Analysis
Bloomin' Brands (BLMN) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Bloomin' Brands posted Cash & Equivalents of $59.46 million, down 15.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $70.06 million in FY2024 (-37.2%), $111.52 million in FY2023 (+31.6%), $84.74 million in FY2022 (-3.3%) and $87.59 million in FY2021 (-20.4%).
- Five-year quarterly Cash & Equivalents spans a low of $50.31 million in Q2 2025 and a high of $131.66 million in Q1 2024.
- Year over year, Cash & Equivalents gained in two of the last eight quarters, with an average decline of 16.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2024 (growth of 39.4%); the low point was Q2 2025 (a decline of 57.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $71.3 million (Q1 2026), $59.46 million (Q4 2025) and $66.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Bloomin' Brands | 717.45 Mn | 456.83 Mn | 709.41 Mn | 66.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 66.61 Mn |
| Mar 29, 2026 | 71.30 Mn |
| Dec 28, 2025 | 59.46 Mn |
| Sep 28, 2025 | 66.48 Mn |
| Jun 29, 2025 | 50.31 Mn |
| Mar 30, 2025 | 57.69 Mn |
| Dec 29, 2024 | 70.06 Mn |
| Sep 29, 2024 | 83.63 Mn |
| Jun 30, 2024 | 117.92 Mn |
| Mar 31, 2024 | 131.66 Mn |
| Dec 31, 2023 | 111.52 Mn |
| Sep 24, 2023 | 86.58 Mn |
| Jun 25, 2023 | 88.79 Mn |
| Mar 26, 2023 | 94.44 Mn |
| Dec 25, 2022 | 84.74 Mn |
| Sep 25, 2022 | 90.68 Mn |
| Jun 26, 2022 | 95.35 Mn |
| Mar 27, 2022 | 97.80 Mn |
| Dec 26, 2021 | 87.59 Mn |
| Sep 26, 2021 | 76.34 Mn |
API Access
Bloomin' Brands 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=BLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BLMN", "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=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();