Dine Brands Global (DIN) Net Cash Flow (2010 - 2026)
Dine Brands Global's Net Cash Flow was -$100,000 in Q2 2026, compared with $12.9 million a year earlier.
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Analysis
Dine Brands Global (DIN) Net Cash Flow (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dine Brands Global's Net Cash Flow was -$90.5 million through Jun 28, 2026; for FY2025, it came in at -$46.9 million.
- In earlier years, Net Cash Flow was $48 million in FY2024, -$124.3 million in FY2023, -$100.37 million in FY2022 and -$30.7 million in FY2021.
- Quarterly Net Cash Flow has moved between -$99.22 million (Q4 2022) and $94.49 million (Q3 2022) over five years.
- Compared with a year earlier, Net Cash Flow was higher in two of the last four quarters, with growth averaging 112.3%.
- The best year-over-year quarter for Net Cash Flow over five years was Q3 2024 (growth of 494.8%); the worst was Q3 2023 (a decline of 97.0%).
- Per Business Quant data, DIN's Net Cash Flow in the three quarters before Q2 2026 was -$28.8 million (Q1 2026), -$49.42 million (Q4 2025) and -$12.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | -448.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.35 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | -18.64 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 36.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 56.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -18.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 56.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 8.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | -12.13 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | -100,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -100,000.00 |
| Mar 29, 2026 | -28.80 Mn |
| Dec 28, 2025 | -49.42 Mn |
| Sep 30, 2025 | -12.19 Mn |
| Jun 29, 2025 | 12.90 Mn |
| Mar 30, 2025 | 1.80 Mn |
| Dec 29, 2024 | 13.48 Mn |
| Sep 30, 2024 | 16.72 Mn |
| Jun 30, 2024 | 6.27 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Dec 31, 2023 | 41.06 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | -78.29 Mn |
| Mar 31, 2023 | -89.88 Mn |
| Dec 31, 2022 | -99.22 Mn |
| Sep 30, 2022 | 94.49 Mn |
| Jun 30, 2022 | -28.59 Mn |
| Mar 31, 2022 | -67.05 Mn |
| Dec 31, 2021 | 40.11 Mn |
| Sep 30, 2021 | 37.25 Mn |
API Access
Dine Brands Global Net 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=net-cash-flow&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-cash-flow&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();