Cardlytics (CDLX) Accumulated Expenses (2017 - 2026)
Cardlytics (CDLX) reported Accumulated Expenses of $12.32 million for Q2 2026, up 90.8% from $6.46 million a year earlier and up 24.2% from the prior quarter.
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Analysis
Cardlytics (CDLX) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Cardlytics posted Accumulated Expenses of $7.13 million, down 0.7% from FY2024.
- Accumulated Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $7.18 million in FY2024 (-25.2%), $9.59 million in FY2023 (-55.1%), $21.34 million in FY2022 (+8.7%) and $19.62 million in FY2021 (+255.8%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q1 2023.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with growth averaging 18.6%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 255.8%); the low point was Q1 2024 (a decline of 80.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.92 million (Q1 2026), $7.13 million (Q4 2025) and $7.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Cardlytics | 16.03 Mn | -164.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.32 Mn |
| Mar 31, 2026 | 9.92 Mn |
| Dec 31, 2025 | 7.13 Mn |
| Sep 30, 2025 | 7.47 Mn |
| Jun 30, 2025 | 6.46 Mn |
| Mar 31, 2025 | 8.38 Mn |
| Dec 31, 2024 | 7.18 Mn |
| Sep 30, 2024 | 8.36 Mn |
| Jun 30, 2024 | 6.77 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 9.59 Mn |
| Sep 30, 2023 | 9.67 Mn |
| Jun 30, 2023 | 10.47 Mn |
| Mar 31, 2023 | 21.99 Mn |
| Dec 31, 2022 | 21.34 Mn |
| Sep 30, 2022 | 20.56 Mn |
| Jun 30, 2022 | 20.96 Mn |
| Mar 31, 2022 | 14.63 Mn |
| Dec 31, 2021 | 19.62 Mn |
| Sep 30, 2021 | 6.05 Mn |
API Access
Cardlytics Accumulated 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=accumulated-expenses&ticker=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();