Freightos (CRGO) Accumulated Expenses (2021 - 2026)
Freightos' Accumulated Expenses came in at $6.9 million for Q2 2026, down 9.3% from $7.61 million a year earlier.
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Analysis
Freightos (CRGO) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Freightos' Accumulated Expenses was $5.92 million, down 15.7% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 1.6% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $7.02 million in FY2024 (+114.3%), $3.28 million in FY2023 (-36.3%), $5.14 million in FY2022 (-7.3%) and $5.55 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q2 2024.
- Year-over-year, Accumulated Expenses increased in three of the last four quarters, with growth averaging 60.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2024 (growth of 118.8%), and the weakest in Q2 2024 (a decline of 41.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | Freightos | 46.24 Mn | -29.82 Mn | 5.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.90 Mn |
| Jun 30, 2025 | 7.61 Mn |
| Dec 31, 2024 | 7.02 Mn |
| Sep 30, 2024 | 7.25 Mn |
| Jun 30, 2024 | 3.67 Mn |
| Mar 31, 2024 | 4.93 Mn |
| Dec 31, 2023 | 3.21 Mn |
| Sep 30, 2023 | 5.88 Mn |
| Jun 30, 2023 | 6.27 Mn |
| Mar 31, 2023 | 5.63 Mn |
| Dec 31, 2022 | 4.86 Mn |
| Dec 31, 2021 | 5.55 Mn |
API Access
Freightos Accumulated Expenses 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=accumulated-expenses&ticker=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();