Dine Brands Global (DIN) Free Cash Flow (2010 - 2026)
Dine Brands Global's Free Cash Flow came in at $1.3 million for Q2 2026, down 95.8% from $31 million a year earlier.
Dine Brands Global (DIN) Free Cash Flow (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Dine Brands Global reported Free Cash Flow of $6.3 million, down 93.2% year-over-year; for FY2025, it came in at $53.4 million, down 43.3% from FY2024.
- Free Cash Flow carries a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- Going back by year, Free Cash Flow was $94.1 million in FY2024 (+0.1%), $94 million in FY2023 (+74.0%), $54.02 million in FY2022 (-69.8%) and $178.99 million in FY2021 (+109.2%).
- The five-year range for quarterly Free Cash Flow is -$13.09 million (Q1 2022) to $46.66 million (Q4 2023).
- Year-over-year, Free Cash Flow increased in 1 of the last six quarters, with an average decline of 26.4%.
- The fastest year-over-year change in Free Cash Flow over five years came in Q4 2023 (growth of 365.5%), and the weakest in Q2 2026 (a decline of 95.8%).
- Business Quant data shows DIN's Free Cash Flow at -$4.6 million (Q1 2026), -$8.55 million (Q4 2025) and $18.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 1.98 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.35 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 463.38 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 407.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 479.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 379.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 479.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 299.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 81.47 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 1.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.30 Mn |
| Mar 29, 2026 | -4.60 Mn |
| Dec 28, 2025 | -8.55 Mn |
| Sep 30, 2025 | 18.15 Mn |
| Jun 29, 2025 | 31.00 Mn |
| Mar 30, 2025 | 12.80 Mn |
| Dec 29, 2024 | 26.71 Mn |
| Sep 30, 2024 | 21.99 Mn |
| Jun 30, 2024 | 18.18 Mn |
| Mar 31, 2024 | 27.22 Mn |
| Dec 31, 2023 | 46.66 Mn |
| Sep 30, 2023 | 27.44 Mn |
| Jun 30, 2023 | 19.85 Mn |
| Mar 31, 2023 | 46,000.00 |
| Dec 31, 2022 | 10.02 Mn |
| Sep 30, 2022 | 26.87 Mn |
| Jun 30, 2022 | 30.22 Mn |
| Mar 31, 2022 | -13.09 Mn |
| Dec 31, 2021 | 41.35 Mn |
| Sep 30, 2021 | 35.69 Mn |
Dine Brands Global Free Cash Flow 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=free-cash-flow&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();