Cardlytics (CDLX) Selling, General & Administrative (2017 - 2026)
Cardlytics (CDLX) posted Selling, General & Administrative of $7.86 million for Q2 2026, down 35.8% from $12.24 million a year earlier and down 5.1% from the prior quarter.
Cardlytics (CDLX) Selling, General & Administrative (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Cardlytics was $36.72 million, down 28.0% year-over-year; for FY2025, it was $47.27 million, down 16.3% from FY2024.
- Annual Selling, General & Administrative has declined for three consecutive years, though with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, Cardlytics' Selling, General & Administrative was $56.48 million in FY2024 (-4.0%), $58.81 million in FY2023 (-27.8%), $81.45 million in FY2022 (+23.0%) and $66.22 million in FY2021 (+42.3%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q1 2019.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last nine quarters, with an average decline of 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2022, with growth of 67.8%; the weakest was Q1 2026, with a decline of 36.0%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $8.28 million (Q1 2026), $9.73 million (Q4 2025) and $10.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Cardlytics | 16.03 Mn | -164.50 Mn | - | 7.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.86 Mn |
| Mar 31, 2026 | 8.28 Mn |
| Dec 31, 2025 | 9.73 Mn |
| Sep 30, 2025 | 10.85 Mn |
| Jun 30, 2025 | 12.24 Mn |
| Mar 31, 2025 | 12.94 Mn |
| Dec 31, 2024 | 13.77 Mn |
| Sep 30, 2024 | 12.08 Mn |
| Jun 30, 2024 | 16.15 Mn |
| Mar 31, 2024 | 14.49 Mn |
| Dec 31, 2023 | 13.90 Mn |
| Sep 30, 2023 | 15.56 Mn |
| Jun 30, 2023 | 16.28 Mn |
| Mar 31, 2023 | 13.07 Mn |
| Dec 31, 2022 | 20.07 Mn |
| Sep 30, 2022 | 19.97 Mn |
| Jun 30, 2022 | 20.98 Mn |
| Mar 31, 2022 | 20.43 Mn |
| Dec 31, 2021 | 17.09 Mn |
| Sep 30, 2021 | 20.07 Mn |
Cardlytics 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=CDLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CDLX", "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=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();