Criteo (CRTO) Property, Plant & Equipment (Net) (2014 - 2026)
Criteo's Property, Plant & Equipment (Net) came in at $168.38 million for Q2 2026, up 33.3% from $126.36 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Criteo (CRTO) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Criteo's Property, Plant & Equipment (Net) was $139.33 million, up 29.9% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $107.22 million in FY2024 (-15.2%), $126.49 million in FY2023 (-3.6%), $131.21 million in FY2022 (-6.3%) and $139.96 million in FY2021 (-26.1%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) has increased for three consecutive quarters, with growth averaging 11.7% over the last seven quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2026 (growth of 47.2%), and the weakest in Q4 2021 (a decline of 26.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 372.83 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 253.22 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 2.56 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 46.06 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 50.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.82 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 113.34 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 215.48 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 748.00 Mn |
| 10 | Criteo | 754.02 Mn | -542.69 Mn | 207.67 Mn | 196.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 196.95 Mn |
| Jun 30, 2026 | 168.38 Mn |
| Mar 31, 2026 | 155.50 Mn |
| Dec 31, 2025 | 139.33 Mn |
| Jun 30, 2025 | 126.36 Mn |
| Mar 31, 2025 | 105.68 Mn |
| Dec 31, 2024 | 107.22 Mn |
| Sep 30, 2024 | 116.87 Mn |
| Jun 30, 2024 | 115.89 Mn |
| Mar 31, 2024 | 116.80 Mn |
| Dec 31, 2023 | 126.49 Mn |
| Sep 30, 2023 | 134.24 Mn |
| Jun 30, 2023 | 143.72 Mn |
| Mar 31, 2023 | 146.21 Mn |
| Dec 31, 2022 | 131.21 Mn |
| Sep 30, 2022 | 114.49 Mn |
| Jun 30, 2022 | 124.13 Mn |
| Mar 31, 2022 | 129.16 Mn |
| Dec 31, 2021 | 139.96 Mn |
| Sep 30, 2021 | 150.11 Mn |
API Access
Criteo Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CRTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CRTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();