Criteo (CRTO) Total Non-Current Liabilities (2015 - 2026)
Criteo's Total Non-Current Liabilities was $168.94 million in Q2 2026, up 10.4% from $153.06 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Criteo (CRTO) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Criteo came in at $170.82 million, up 23.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $138.75 million in FY2024 (-0.9%), $140.04 million in FY2023 (-25.4%), $187.8 million in FY2022 (+66.6%) and $112.72 million in FY2021 (+12.3%).
- Quarterly Total Non-Current Liabilities has moved between $94.3 million (Q2 2022) and $187.8 million (Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 9.2% over the last seven quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 66.6%); the worst was Q2 2022 (a decline of 26.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,390.01 Bn | 3,124.91 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,545.95 Bn | 1,248.47 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 255.99 Bn | 217.29 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 235.76 Bn | 57.84 Bn | 15.16 Bn | 122.20 Bn |
| 5 | Shopify | 202.34 Bn | 179.52 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 136.09 Bn | 108.07 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Spotify Technology | 122.28 Bn | 79.20 Bn | 1.89 Bn | 6.29 Bn |
| 8 | PDD Holdings | 116.28 Bn | -127.77 Bn | 9.48 Bn | 428.00 Mn |
| 9 | Booking Holdings | 115.52 Bn | 48.57 Bn | - | 39.77 Bn |
| 10 | Criteo | 726.80 Mn | -454.07 Mn | 222.21 Mn | 168.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.94 Mn |
| Mar 31, 2026 | 165.57 Mn |
| Dec 31, 2025 | 170.82 Mn |
| Jun 30, 2025 | 153.06 Mn |
| Mar 31, 2025 | 140.91 Mn |
| Dec 31, 2024 | 138.75 Mn |
| Sep 30, 2024 | 148.24 Mn |
| Jun 30, 2024 | 138.78 Mn |
| Mar 31, 2024 | 138.67 Mn |
| Dec 31, 2023 | 140.04 Mn |
| Sep 30, 2023 | 144.85 Mn |
| Jun 30, 2023 | 136.34 Mn |
| Mar 31, 2023 | 148.38 Mn |
| Dec 31, 2022 | 187.80 Mn |
| Sep 30, 2022 | 182.20 Mn |
| Jun 30, 2022 | 94.30 Mn |
| Mar 31, 2022 | 100.30 Mn |
| Dec 31, 2021 | 112.72 Mn |
| Sep 30, 2021 | 113.40 Mn |
| Jun 30, 2021 | 127.64 Mn |
API Access
Criteo Total Non-Current 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-non-current-liabilities&ticker=CRTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CRTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();