Freightos (CRGO) Restructuring Costs (2022 - 2026)
Freightos' Restructuring Costs came in at $1.03 million for Q1 2026, up 896.3% from the prior quarter.
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Analysis
Freightos (CRGO) Restructuring Costs (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Freightos reported Restructuring Costs of $1.33 million; for FY2025, it was $101,898, down 45.5% from FY2024.
- Restructuring Costs has declined in each of the last three years, with a five-year compound annual growth rate of -35.2% (FY2020 to FY2025).
- Going back by year, Restructuring Costs was $186,808 in FY2024 (-68.2%), $587,505 in FY2023 (-70.7%) and $2.01 million in FY2022.
- The Q1 2026 figure represents the highest quarterly Restructuring Costs since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Freightos | 51.89 Mn | -24.17 Mn | 5.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 103,738.93 |
| Sep 30, 2024 | 189,491.32 |
| Sep 30, 2023 | 884,000.00 |
| Mar 31, 2023 | 3.70 Mn |
| Dec 31, 2022 | 876,467.09 |
| Sep 30, 2022 | 741,000.00 |
API Access
Freightos Restructuring Costs 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=restructuring-costs&ticker=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();