Freightos (CRGO) Total Non-Current Liabilities (2021 - 2026)
Freightos (CRGO) recorded Total Non-Current Liabilities of $2.77 million in Q2 2026, up 10.5% from $2.5 million a year earlier and up 40.3% from the prior quarter.
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Analysis
Freightos (CRGO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Freightos reported Total Non-Current Liabilities of $1.95 million, up 87.0% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of -11.4% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.04 million in FY2024 (-20.6%), $1.31 million in FY2023 (-38.4%), $2.13 million in FY2022 (-32.7%) and $3.17 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q3 2023.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 17.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 103.6% in Q2 2025, against a decline of 77.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.97 million (Q1 2026), $1.98 million (Q4 2025) and $1.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Freightos | 48.81 Mn | -27.25 Mn | 5.20 Mn | 2.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 1.98 Mn |
| Sep 30, 2025 | 1.65 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 1.83 Mn |
| Jun 30, 2024 | 1.23 Mn |
| Mar 31, 2024 | 1.92 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 3.64 Mn |
| Jun 30, 2023 | 5.43 Mn |
| Mar 31, 2023 | 5.91 Mn |
| Dec 31, 2022 | 2.01 Mn |
| Dec 31, 2021 | 3.17 Mn |
API Access
Freightos 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=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CRGO", "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=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();