Dine Brands Global (DIN) Acquisitions (2024 - 2026)
Dine Brands Global (DIN) posted Acquisitions of -$4.8 million for Q2 2026, compared with -$900,000 a year earlier.
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Analysis
Dine Brands Global (DIN) Acquisitions (2024 - 2026) Analysis & Trends
For FY2025, Dine Brands Global's Acquisitions came in at -$1.6 million.
- In prior years, Dine Brands Global's Acquisitions was $8.5 million in FY2024, $100,000 in FY2023 (-99.9%) and $78.26 million in FY2022.
- According to Business Quant data, Acquisitions for the three prior quarters 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) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | -4.80 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 Acquisitions 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=acquisitions&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();