Bloomin' Brands (BLMN) Property, Plant & Equipment (Net) (2011 - 2026)
Bloomin' Brands' Property, Plant & Equipment (Net) was $897.9 million in Q2 2026, down 4.6% from $941.68 million a year earlier and down 0.1% from the prior quarter.
Bloomin' Brands (BLMN) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Bloomin' Brands came in at $912.65 million, down 3.8% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $948.52 million in FY2024 (+2.2%), $928.17 million in FY2023 (+1.5%), $914.14 million in FY2022 (+8.6%) and $842.01 million in FY2021 (-5.1%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for six straight quarters, with an average decline of 5.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2023 (growth of 16.6%); the worst was Q3 2025 (a decline of 13.9%).
- Per Business Quant data, BLMN's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $899.17 million (Q1 2026), $912.65 million (Q4 2025) and $920.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 28.80 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 6.94 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 3.04 Bn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 1.64 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 2.25 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.25 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 2.66 Bn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 1.96 Bn |
| 10 | Bloomin' Brands | 850.97 Mn | 566.03 Mn | 665.96 Mn | 903.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 903.28 Mn |
| Jun 28, 2026 | 897.90 Mn |
| Mar 29, 2026 | 899.17 Mn |
| Dec 28, 2025 | 912.65 Mn |
| Sep 28, 2025 | 920.86 Mn |
| Jun 29, 2025 | 941.68 Mn |
| Mar 30, 2025 | 951.54 Mn |
| Dec 29, 2024 | 948.52 Mn |
| Sep 29, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 928.17 Mn |
| Sep 24, 2023 | 1.02 Bn |
| Jun 25, 2023 | 975.99 Mn |
| Mar 26, 2023 | 936.23 Mn |
| Dec 25, 2022 | 914.14 Mn |
| Sep 25, 2022 | 875.57 Mn |
| Jun 26, 2022 | 852.16 Mn |
| Mar 27, 2022 | 841.12 Mn |
| Dec 26, 2021 | 842.01 Mn |
Bloomin' Brands Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();