Wingstop (WING) Depreciation & Amortization (CF) (2014 - 2026)
Wingstop (WING) recorded Depreciation & Amortization (CF) of $9.01 million in Q3 2026, up 44.5% from $6.23 million a year earlier and up 24.9% from the prior quarter.
Wingstop (WING) Depreciation & Amortization (CF) (2014 - 2026) Analysis & Trends
On a TTM basis, Wingstop's Depreciation & Amortization (CF) came in at $29.45 million as of Sep 26, 2026, up 20.0% year-over-year; for FY2025, it came in at $25.07 million, up 28.6% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for ten straight years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $19.49 million in FY2024 (+47.2%), $13.24 million in FY2023 (+21.5%), $10.9 million in FY2022 (+37.2%) and $7.94 million in FY2021 (+5.7%).
- The Q3 2026 figure is the highest quarterly Depreciation & Amortization (CF) in data going back to Q3 2014.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 20 consecutive quarters, with growth averaging 33.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation & Amortization (CF) ranged from 8.9% (Q4 2025) to 82.6% (Q1 2025).
- Per Business Quant, the preceding three quarters came in at $7.21 million (Q2 2026), $6.84 million (Q1 2026) and $6.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 565.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 389.70 Mn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 60.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 102.61 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 74.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 144.20 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 74.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 120.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 58.34 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 9.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 9.01 Mn |
| Jun 27, 2026 | 7.21 Mn |
| Mar 28, 2026 | 6.84 Mn |
| Dec 27, 2025 | 6.39 Mn |
| Sep 27, 2025 | 6.23 Mn |
| Jun 28, 2025 | 6.22 Mn |
| Mar 29, 2025 | 6.23 Mn |
| Dec 28, 2024 | 5.87 Mn |
| Sep 28, 2024 | 5.05 Mn |
| Jun 29, 2024 | 5.16 Mn |
| Mar 30, 2024 | 3.41 Mn |
| Dec 30, 2023 | 3.65 Mn |
| Sep 30, 2023 | 3.38 Mn |
| Jul 1, 2023 | 3.22 Mn |
| Apr 1, 2023 | 2.99 Mn |
| Dec 31, 2022 | 3.29 Mn |
| Sep 24, 2022 | 2.84 Mn |
| Jun 25, 2022 | 2.55 Mn |
| Mar 26, 2022 | 2.23 Mn |
| Dec 25, 2021 | 2.56 Mn |
Wingstop Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "WING", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();