Sweetgreen (SG) EV to CFO (2023 - 2025)
Sweetgreen's (SG) EV to CFO stood at 401.89 in Q3 2025, up 373.4% from 84.90 a year earlier and up 408.2% from the prior quarter.
Sweetgreen (SG) EV to CFO (2023 - 2025) Analysis & Trends
On a TTM basis, Sweetgreen's EV to CFO came in at 128.84 as of Sep 28, 2025, up 87.4% year-over-year; for FY2024, it came in at 82.42, up 114.9% from FY2023.
- Across earlier years, EV to CFO came in at 38.35 in FY2023.
- The Q3 2025 figure is the highest quarterly EV to CFO since Q3 2023.
- On a year-over-year basis, EV to CFO has increased for four consecutive quarters, with growth averaging 86.2% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at 79.08 (Q2 2025), 105.08 (Q1 2025) and 82.42 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.53 Bn | 169.35 Bn | 6.42 Bn |
| 2 | Starbucks | 112.66 Bn | 100.28 Bn | - |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 36.13 Bn | 32.11 Bn | - |
| 5 | Restaurant Brands International | 26.02 Bn | 21.58 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 23.49 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.00 Bn | 10.34 Bn | - |
| 10 | Sweetgreen | 1.23 Bn | 709.64 Mn | 25.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2025 | 401.89 |
| Jun 29, 2025 | 79.08 |
| Mar 30, 2025 | 105.08 |
| Dec 29, 2024 | 82.42 |
| Sep 29, 2024 | 84.90 |
| Jun 30, 2024 | 72.30 |
| Mar 31, 2024 | 79.18 |
| Dec 31, 2023 | 38.35 |
| Sep 24, 2023 | 10,806.98 |
Sweetgreen EV to CFO 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=ev-to-cfo&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "SG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();