Criteo (CRTO) Operating Expenses (2015 - 2026)
Criteo (CRTO) posted Operating Expenses of $207.21 million for Q2 2026, down 9.1% from $228.06 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Criteo (CRTO) Operating Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Criteo was $836.42 million, down 1.1% year-over-year; for FY2025, it came in at $846.62 million, up 1.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Criteo's Operating Expenses was $831.57 million in FY2024 (+5.8%), $785.83 million in FY2023 (+1.9%), $770.92 million in FY2022 (+22.4%) and $630.07 million in FY2021 (+8.8%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in four of the last six quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 48.0%; the weakest was Q2 2023, with a decline of 17.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Criteo | 737.97 Mn | -442.90 Mn | 222.21 Mn | 207.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.21 Mn |
| Mar 31, 2026 | 212.34 Mn |
| Jun 30, 2025 | 228.06 Mn |
| Mar 31, 2025 | 188.81 Mn |
| Dec 31, 2024 | 206.46 Mn |
| Sep 30, 2024 | 222.33 Mn |
| Jun 30, 2024 | 195.91 Mn |
| Mar 31, 2024 | 206.87 Mn |
| Dec 31, 2023 | 188.31 Mn |
| Sep 30, 2023 | 193.69 Mn |
| Jun 30, 2023 | 198.82 Mn |
| Mar 31, 2023 | 205.00 Mn |
| Dec 31, 2022 | 197.95 Mn |
| Sep 30, 2022 | 175.13 Mn |
| Jun 30, 2022 | 241.48 Mn |
| Mar 31, 2022 | 156.36 Mn |
| Dec 31, 2021 | 178.61 Mn |
| Sep 30, 2021 | 143.84 Mn |
| Jun 30, 2021 | 163.14 Mn |
| Mar 31, 2021 | 144.48 Mn |
API Access
Criteo Operating Expenses 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=operating-expenses&ticker=CRTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();