Dine Brands Global (DIN) Net of Acquisitions & Divestments (2024 - 2026)
Dine Brands Global's Net of Acquisitions & Divestments was $4.8 million in Q2 2026, up 433.3% from $900,000 a year earlier.
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Analysis
Dine Brands Global (DIN) Net of Acquisitions & Divestments (2024 - 2026) Analysis & Trends
For FY2025, Net of Acquisitions & Divestments at Dine Brands Global came in at $1.6 million.
- In earlier years, Net of Acquisitions & Divestments was -$8.5 million in FY2024, -$100,000 in FY2023 and -$78.26 million in FY2022.
- Per Business Quant data, DIN's Net of Acquisitions & Divestments in the three quarters before Q2 2026 was -$700,000 (Q1 2026), $20,000 (Q4 2025) and $680,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | -10.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -10.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | - |
| 10 | Dine Brands Global | 428.34 Mn | 7.34 Mn | 84.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.80 Mn |
| Mar 29, 2026 | -700,000.00 |
| Dec 28, 2025 | 20,000.00 |
| Sep 30, 2025 | 680,000.00 |
| Jun 29, 2025 | 900,000.00 |
| Dec 29, 2024 | -8.50 Mn |
API Access
Dine Brands Global Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "DIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();