Dine Brands Global (DIN) Restructuring Costs (2010 - 2026)
Dine Brands Global (DIN) recorded Restructuring Costs of $4 million in Q2 2026, up 233.3% from $1.2 million a year earlier and up 400.0% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Restructuring Costs (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Restructuring Costs came in at $37.8 million as of Jun 28, 2026, up 149.4% year-over-year; for FY2025, it came in at $40 million, up 334.8% from FY2024.
- Annual Restructuring Costs has increased for three straight years, with a four-year compound annual growth rate of 64.9% (FY2021 to FY2025).
- Across earlier years, Restructuring Costs came in at $9.2 million in FY2024 (+155.6%), $3.6 million in FY2023 (+17.6%), $3.06 million in FY2022 (-43.4%) and $5.41 million in FY2021.
- Quarterly Restructuring Costs has ranged from -$38,000 in Q4 2022 to $32.39 million in Q4 2025 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in five of the last seven quarters, with growth averaging 203.7%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 814.8% in Q1 2025, against a decline of 86.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $800,000 (Q1 2026), $32.39 million (Q4 2025) and $612,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.00 Mn |
| Mar 29, 2026 | 800,000.00 |
| Dec 28, 2025 | 32.39 Mn |
| Sep 30, 2025 | 612,000.00 |
| Jun 29, 2025 | 1.20 Mn |
| Mar 30, 2025 | 5.80 Mn |
| Dec 29, 2024 | 7.76 Mn |
| Sep 30, 2024 | 400,000.00 |
| Jun 30, 2024 | 442,000.00 |
| Mar 31, 2024 | 634,000.00 |
| Dec 31, 2023 | 500,000.00 |
| Sep 30, 2023 | 1.80 Mn |
| Jun 30, 2023 | 847,000.00 |
| Mar 31, 2023 | 500,000.00 |
| Dec 31, 2022 | -38,000.00 |
| Sep 30, 2022 | 1.64 Mn |
| Jun 30, 2022 | 1.31 Mn |
| Dec 31, 2021 | 385,000.00 |
| Sep 30, 2021 | 443,000.00 |
| Jun 30, 2021 | 2.60 Mn |
API Access
Dine Brands Global Restructuring Costs 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=restructuring-costs&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();