Bloomin' Brands (BLMN) Cost of Revenue (2011 - 2026)
Bloomin' Brands (BLMN) recorded Cost of Revenue of $306.4 million in Q2 2026, up 2.7% from $298.33 million a year earlier but down 3.5% from the prior quarter.
Bloomin' Brands (BLMN) Cost of Revenue (2011 - 2026) Analysis & Trends
On a TTM basis, Bloomin' Brands' Cost of Revenue came in at $1.19 billion as of Jun 28, 2026, up 3.5% year-over-year; for FY2025, it was $1.18 billion, up 2.6% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $1.15 billion in FY2024 (-7.5%), $1.24 billion in FY2023 (+0.2%), $1.24 billion in FY2022 (+0.6%) and $1.23 billion in FY2021 (+25.1%).
- Quarterly Cost of Revenue has ranged from $180.65 million in Q4 2022 to $384.21 million in Q1 2023 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for five consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 50.8% in Q4 2024, against a decline of 43.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $317.41 million (Q1 2026), $290.59 million (Q4 2025) and $275.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Bloomin' Brands | 726.01 Mn | 465.39 Mn | 709.41 Mn | 306.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 306.40 Mn |
| Mar 29, 2026 | 317.41 Mn |
| Dec 28, 2025 | 290.59 Mn |
| Sep 28, 2025 | 275.08 Mn |
| Jun 29, 2025 | 298.33 Mn |
| Mar 30, 2025 | 313.30 Mn |
| Dec 29, 2024 | 276.24 Mn |
| Sep 29, 2024 | 261.34 Mn |
| Jun 30, 2024 | 294.76 Mn |
| Mar 31, 2024 | 315.52 Mn |
| Dec 31, 2023 | 183.18 Mn |
| Sep 24, 2023 | 321.87 Mn |
| Jun 25, 2023 | 351.23 Mn |
| Mar 26, 2023 | 384.21 Mn |
| Dec 25, 2022 | 180.65 Mn |
| Sep 25, 2022 | 332.94 Mn |
| Jun 26, 2022 | 364.46 Mn |
| Mar 27, 2022 | 359.37 Mn |
| Dec 26, 2021 | 321.42 Mn |
| Sep 26, 2021 | 304.30 Mn |
Bloomin' Brands Cost of Revenue 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=cost-of-revenue&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();