Bloomin' Brands (BLMN) Goodwill & Intangibles (2011 - 2026)
Bloomin' Brands (BLMN) posted Goodwill & Intangibles of $608.49 million for Q2 2026, down 5.0% from $640.5 million a year earlier and down 0.2% from the prior quarter.
Bloomin' Brands (BLMN) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Bloomin' Brands' Goodwill & Intangibles came in at $610.4 million, down 5.0% from FY2024.
- Annual Goodwill & Intangibles has declined for 12 consecutive years, with a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In prior years, Bloomin' Brands' Goodwill & Intangibles was $642.41 million in FY2024 (-0.6%), $646.24 million in FY2023 (-10.4%), $721.36 million in FY2022 (-0.1%) and $721.86 million in FY2021 (-1.3%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles in data going back to Q4 2011.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 16 quarters, with an average decline of 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q2 2022, with growth of 0.2%; the weakest was Q1 2025, with a decline of 10.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $609.45 million (Q1 2026), $610.4 million (Q4 2025) and $639.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - |
| 10 | Bloomin' Brands | 717.45 Mn | 456.83 Mn | 709.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 608.49 Mn |
| Mar 29, 2026 | 609.45 Mn |
| Dec 28, 2025 | 610.40 Mn |
| Sep 28, 2025 | 639.55 Mn |
| Jun 29, 2025 | 640.50 Mn |
| Mar 30, 2025 | 641.46 Mn |
| Dec 29, 2024 | 642.41 Mn |
| Sep 29, 2024 | 706.20 Mn |
| Jun 30, 2024 | 711.94 Mn |
| Mar 31, 2024 | 717.12 Mn |
| Dec 31, 2023 | 646.24 Mn |
| Sep 24, 2023 | 720.25 Mn |
| Jun 25, 2023 | 720.26 Mn |
| Mar 26, 2023 | 719.21 Mn |
| Dec 25, 2022 | 721.36 Mn |
| Sep 25, 2022 | 723.08 Mn |
| Jun 26, 2022 | 731.43 Mn |
| Mar 27, 2022 | 726.52 Mn |
| Dec 26, 2021 | 721.86 Mn |
| Sep 26, 2021 | 729.55 Mn |
Bloomin' Brands Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();