Dine Brands Global (DIN) Cash from Operations (2010 - 2026)
Dine Brands Global (DIN) posted Cash from Operations of $12.4 million for Q2 2026, down 66.5% from $37 million a year earlier but up 65.3% from the prior quarter.
Dine Brands Global (DIN) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Cash from Operations at Dine Brands Global was $55.8 million, down 48.9% year-over-year; for FY2025, it came in at $89 million, down 17.7% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Cash from Operations was $108.2 million in FY2024 (-17.5%), $131.2 million in FY2023 (+46.9%), $89.34 million in FY2022 (-54.4%) and $195.84 million in FY2021 (+102.9%).
- Quarterly Cash from Operations has run from a low of -$7.79 million in Q1 2022 to a high of $51.89 million in Q4 2023 over five years.
- On a year-over-year basis, Cash from Operations has declined in each of the last three quarters, with an average decline of 28.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q4 2023, with growth of 100.8%; the weakest was Q4 2025, with a decline of 81.3%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $7.5 million (Q1 2026), $5.7 million (Q4 2025) and $30.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 12.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.40 Mn |
| Mar 29, 2026 | 7.50 Mn |
| Dec 28, 2025 | 5.70 Mn |
| Sep 30, 2025 | 30.20 Mn |
| Jun 29, 2025 | 37.00 Mn |
| Mar 30, 2025 | 16.10 Mn |
| Dec 29, 2024 | 30.51 Mn |
| Sep 30, 2024 | 25.52 Mn |
| Jun 30, 2024 | 21.63 Mn |
| Mar 31, 2024 | 30.55 Mn |
| Dec 31, 2023 | 51.89 Mn |
| Sep 30, 2023 | 36.62 Mn |
| Jun 30, 2023 | 26.61 Mn |
| Mar 31, 2023 | 16.08 Mn |
| Dec 31, 2022 | 25.85 Mn |
| Sep 30, 2022 | 33.61 Mn |
| Jun 30, 2022 | 37.67 Mn |
| Mar 31, 2022 | -7.79 Mn |
| Dec 31, 2021 | 50.27 Mn |
| Sep 30, 2021 | 39.55 Mn |
Dine Brands Global Cash from Operations 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=cash-from-operations&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();