Bloomin' Brands (BLMN) Intangibles (2011 - 2026)
Bloomin' Brands' Intangibles was $423.35 million in Q2 2026, down 0.9% from $427.18 million a year earlier and down 0.2% from the prior quarter.
Bloomin' Brands (BLMN) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Bloomin' Brands came in at $425.27 million, down 0.9% from FY2024.
- Intangibles has now declined for 12 consecutive years, with a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Intangibles was $429.09 million in FY2024 (-0.9%), $432.92 million in FY2023 (-3.4%), $448.33 million in FY2022 (-1.1%) and $453.41 million in FY2021 (-1.4%).
- The Q2 2026 figure marks the lowest quarterly Intangibles in data going back to Q4 2011.
- Compared with a year earlier, Intangibles has declined for 47 straight quarters, with an average decline of 1.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 0.9% (Q4 2024) to 3.4% (Q4 2023).
- Per Business Quant data, BLMN's Intangibles in the three quarters before Q2 2026 was $424.31 million (Q1 2026), $425.27 million (Q4 2025) and $426.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 172.30 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 807.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 10.95 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 1.35 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 10.95 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 151.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 26.49 Mn |
| 10 | Bloomin' Brands | 690.05 Mn | 429.43 Mn | 709.41 Mn | 423.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 423.35 Mn |
| Mar 29, 2026 | 424.31 Mn |
| Dec 28, 2025 | 425.27 Mn |
| Sep 28, 2025 | 426.22 Mn |
| Jun 29, 2025 | 427.18 Mn |
| Mar 30, 2025 | 428.14 Mn |
| Dec 29, 2024 | 429.09 Mn |
| Sep 29, 2024 | 437.60 Mn |
| Jun 30, 2024 | 439.53 Mn |
| Mar 31, 2024 | 441.44 Mn |
| Dec 31, 2023 | 432.92 Mn |
| Sep 24, 2023 | 444.38 Mn |
| Jun 25, 2023 | 445.63 Mn |
| Mar 26, 2023 | 446.70 Mn |
| Dec 25, 2022 | 448.33 Mn |
| Sep 25, 2022 | 449.98 Mn |
| Jun 26, 2022 | 452.65 Mn |
| Mar 27, 2022 | 453.05 Mn |
| Dec 26, 2021 | 453.41 Mn |
| Sep 26, 2021 | 456.06 Mn |
Bloomin' Brands 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=intangibles&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();