Cardlytics (CDLX) Total Liabilities (2017 - 2026)
Cardlytics' Total Liabilities came in at $250.79 million for Q2 2026, down 17.1% from $302.43 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Cardlytics (CDLX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Cardlytics' Total Liabilities was $292.15 million, down 9.5% from FY2024.
- Total Liabilities has declined in each of the last four years, though with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $322.72 million in FY2024 (-26.5%), $439.35 million in FY2023 (-8.4%), $479.63 million in FY2022 (-16.3%) and $573.1 million in FY2021 (+116.0%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q3 2020.
- Year-over-year, Total Liabilities has declined for 16 consecutive quarters, with an average decline of 14.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 124.2%), and the weakest in Q4 2024 (a decline of 26.5%).
- Business Quant data shows CDLX's Total Liabilities at $267.91 million (Q1 2026), $292.15 million (Q4 2025) and $297.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Cardlytics | 17.12 Mn | -163.41 Mn | - | 250.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 250.79 Mn |
| Mar 31, 2026 | 267.91 Mn |
| Dec 31, 2025 | 292.15 Mn |
| Sep 30, 2025 | 297.51 Mn |
| Jun 30, 2025 | 302.43 Mn |
| Mar 31, 2025 | 304.98 Mn |
| Dec 31, 2024 | 322.72 Mn |
| Sep 30, 2024 | 329.70 Mn |
| Jun 30, 2024 | 324.34 Mn |
| Mar 31, 2024 | 369.81 Mn |
| Dec 31, 2023 | 439.35 Mn |
| Sep 30, 2023 | 409.58 Mn |
| Jun 30, 2023 | 397.21 Mn |
| Mar 31, 2023 | 452.28 Mn |
| Dec 31, 2022 | 479.63 Mn |
| Sep 30, 2022 | 485.80 Mn |
| Jun 30, 2022 | 525.35 Mn |
| Mar 31, 2022 | 519.51 Mn |
| Dec 31, 2021 | 573.10 Mn |
| Sep 30, 2021 | 535.96 Mn |
API Access
Cardlytics Total Liabilities 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=total-liabilities&ticker=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();