Bloomin' Brands (BLMN) FCF Payout Ratio (2015 - 2025)
Bloomin' Brands' (BLMN) FCF Payout Ratio stood at 0.40 in FY2025, down 96.5% from 11.17 in FY2024.
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Analysis
Bloomin' Brands (BLMN) FCF Payout Ratio (2015 - 2025) Analysis & Trends
Starting with FY2015, Bloomin' Brands' FCF Payout Ratio history includes 10 years.
- Annual FCF Payout Ratio has ranged from 0.25 in FY2022 to 11.17 in FY2024 over the past five years.
- Per Business Quant data, BLMN's FCF Payout Ratio was 11.17 in FY2024, 0.33 in FY2023 (+33.3%) and 0.25 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 0.67 |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 0.51 |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 0.34 |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 0.60 |
| 10 | Bloomin' Brands | 690.05 Mn | 429.43 Mn | 709.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2025 | 1.15 |
| Mar 30, 2025 | 0.46 |
| Dec 29, 2024 | 0.34 |
| Mar 31, 2024 | 1.05 |
| Dec 31, 2023 | 0.20 |
| Sep 24, 2023 | 15.75 |
| Jun 25, 2023 | 1.06 |
| Mar 26, 2023 | 0.17 |
| Dec 25, 2022 | 0.29 |
| Sep 25, 2022 | 0.93 |
| Jun 26, 2022 | 0.36 |
| Mar 27, 2022 | 0.12 |
| Dec 29, 2019 | 0.09 |
| Sep 29, 2019 | 0.74 |
| Jun 30, 2019 | 0.74 |
| Mar 31, 2019 | 0.23 |
| Dec 30, 2018 | 0.12 |
| Sep 30, 2018 | 6.17 |
| Jul 1, 2018 | 1.92 |
| Apr 1, 2018 | 2.63 |
API Access
Bloomin' Brands FCF Payout Ratio 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=fcf-payout-ratio&ticker=BLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();