Criteo (CRTO) EV to EBITDA (2015 - 2024)
Criteo's (CRTO) EV to EBITDA was 3.07 for FY2025, down 70.4% from 10.39 in FY2024.
Analysis
Criteo (CRTO) EV to EBITDA (2015 - 2024) Analysis & Trends
Dating back to FY2015, Criteo's EV to EBITDA record includes 11 years.
- The FY2025 figure ranks as the lowest annual EV to EBITDA in data going back to FY2015.
- According to Business Quant data, EV to EBITDA came in at 10.39 in FY2024 (+7.9%), 9.63 in FY2023 (-41.2%), 16.38 in FY2022 (+75.6%) and 9.33 in FY2021 (+77.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,390.01 Bn | 3,124.91 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,545.95 Bn | 1,248.47 Bn | 49.47 Bn |
| 3 | Netflix | 255.99 Bn | 217.29 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 235.76 Bn | 57.84 Bn | 15.16 Bn |
| 5 | Shopify | 202.34 Bn | 179.52 Bn | 1.71 Bn |
| 6 | Uber Technologies | 136.09 Bn | 108.07 Bn | 6.38 Bn |
| 7 | Spotify Technology | 122.28 Bn | 79.20 Bn | 1.89 Bn |
| 8 | PDD Holdings | 116.28 Bn | -127.77 Bn | 9.48 Bn |
| 9 | Booking Holdings | 115.52 Bn | 48.57 Bn | - |
| 10 | Criteo | 726.80 Mn | -454.07 Mn | 222.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.36 |
| Sep 30, 2024 | 9.56 |
| Jun 30, 2024 | 8.87 |
| Mar 31, 2024 | 10.47 |
| Dec 31, 2023 | 8.28 |
| Sep 30, 2023 | 15.20 |
| Jun 30, 2023 | 18.54 |
| Mar 31, 2023 | 13.70 |
| Dec 31, 2022 | 7.49 |
| Sep 30, 2022 | 7.38 |
| Jun 30, 2022 | 4.58 |
| Mar 31, 2022 | 4.92 |
| Dec 31, 2021 | 8.36 |
| Sep 30, 2021 | 7.74 |
| Jun 30, 2021 | 11.24 |
| Mar 31, 2021 | 8.34 |
| Dec 31, 2020 | 4.21 |
| Sep 30, 2020 | 0.96 |
| Jun 30, 2020 | 0.88 |
| Mar 31, 2020 | 0.51 |
API Access
Criteo EV to EBITDA 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-ebitda&ticker=CRTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "CRTO", "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-ebitda&ticker=CRTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();