Dine Brands Global (DIN) Change in Cash (2010 - 2026)
Dine Brands Global (DIN) recorded Change in Cash of -$100,000 in Q2 2026, compared with $12.9 million a year earlier.
Powered by 
Analysis
Dine Brands Global (DIN) Change in Cash (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Change in Cash came in at -$90.5 million as of Jun 28, 2026; for FY2025, it came in at -$46.9 million.
- Across earlier years, Change in Cash came in at $48 million in FY2024, -$124.4 million in FY2023, -$100.37 million in FY2022 and -$30.7 million in FY2021.
- Quarterly Change in Cash has ranged from -$99.22 million in Q4 2022 to $94.49 million in Q3 2022 over the past five years.
- On a year-over-year basis, Change in Cash rose in two of the last four quarters, with growth averaging 112.3%.
- Peak year-over-year performance for Change in Cash in the last five years was growth of 494.8% in Q3 2024, against a decline of 97.0% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$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) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | -348.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.92 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | -18.55 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | -5.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -20.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 12.00 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 | 40.96 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 Change in Cash 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=change-in-cash&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();