Freightos (CRGO) Total Liabilities (2021 - 2026)
Freightos (CRGO) recorded Total Liabilities of $19.17 million in Q2 2026, down 16.2% from $22.87 million a year earlier but up 38.5% from the prior quarter.
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Analysis
Freightos (CRGO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Freightos reported Total Liabilities of $12.75 million, up 2.3% from FY2024.
- Annual Total Liabilities has a four-year compound annual growth rate of -9.7% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $12.47 million in FY2024 (+19.9%), $10.4 million in FY2023 (-25.8%), $14 million in FY2022 (-26.9%) and $19.16 million in FY2021.
- Quarterly Total Liabilities has ranged from $10.18 million in Q4 2023 to $22.87 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 10.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 94.4% in Q2 2025, against a decline of 39.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.85 million (Q1 2026), $12.98 million (Q4 2025) and $14.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.37 Bn | 21.62 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 24.36 Bn | 21.13 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.47 Bn | 21.29 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 19.58 Bn | 12.22 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.60 Bn | 13.66 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.85 Bn | 13.33 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.59 Bn | 11.68 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.16 Bn | 7.54 Bn | 741.00 Mn | 2.27 Bn |
| 10 | Freightos | 37.51 Mn | -19.24 Mn | - | 19.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.17 Mn |
| Mar 31, 2026 | 19.94 Mn |
| Dec 31, 2025 | 19.77 Mn |
| Sep 30, 2025 | 22.40 Mn |
| Jun 30, 2025 | 22.87 Mn |
| Mar 31, 2025 | 21.75 Mn |
| Dec 31, 2024 | 18.89 Mn |
| Sep 30, 2024 | 19.14 Mn |
| Jun 30, 2024 | 17.85 Mn |
| Mar 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 15.64 Mn |
| Sep 30, 2023 | 18.14 Mn |
| Jun 30, 2023 | 19.42 Mn |
| Mar 31, 2023 | 19.56 Mn |
| Dec 31, 2022 | 40.15 Mn |
| Dec 31, 2021 | 19.16 Mn |
API Access
Freightos 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=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();