Criteo (CRTO) Selling, General & Administrative (2015 - 2026)
Criteo (CRTO) recorded Selling, General & Administrative of $49.72 million in Q2 2026, up 23.6% from $40.24 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Criteo (CRTO) Selling, General & Administrative (2015 - 2026) Analysis & Trends
On a TTM basis, Criteo's Selling, General & Administrative came in at $174.29 million as of Jun 30, 2026, up 4.3% year-over-year; for FY2025, it was $168.94 million, down 4.1% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $176.14 million in FY2024 (+28.1%), $137.53 million in FY2023 (-33.0%), $205.33 million in FY2022 (+34.5%) and $152.63 million in FY2021 (+31.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q2 2022.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last six quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 148.7% in Q2 2022, against a decline of 81.6% in Q2 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 338.00 Mn |
| 10 | Criteo | 754.02 Mn | -542.69 Mn | 207.67 Mn | 42.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.28 Mn |
| Jun 30, 2026 | 49.72 Mn |
| Mar 31, 2026 | 45.16 Mn |
| Jun 30, 2025 | 40.24 Mn |
| Mar 31, 2025 | 39.17 Mn |
| Dec 31, 2024 | 41.55 Mn |
| Sep 30, 2024 | 46.22 Mn |
| Jun 30, 2024 | 41.20 Mn |
| Mar 31, 2024 | 47.17 Mn |
| Dec 31, 2023 | 42.22 Mn |
| Sep 30, 2023 | 36.60 Mn |
| Jun 30, 2023 | 18.54 Mn |
| Mar 31, 2023 | 40.17 Mn |
| Dec 31, 2022 | 28.97 Mn |
| Sep 30, 2022 | 42.35 Mn |
| Jun 30, 2022 | 100.67 Mn |
| Mar 31, 2022 | 33.34 Mn |
| Dec 31, 2021 | 43.86 Mn |
| Sep 30, 2021 | 34.88 Mn |
| Jun 30, 2021 | 40.47 Mn |
API Access
Criteo Selling, General & Administrative 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=selling-general-and-administrative&ticker=CRTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CRTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();