Freightos Ltd (CRGO) Operating Expenses (2022 - 2026)
Freightos (CRGO) recorded Operating Expenses of $8.74 million in Q2 2026, down 8.0% from $9.51 million a year earlier but up 14.5% from the prior quarter.
Freightos Ltd (CRGO) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Freightos' Operating Expenses came in at $29.5 million as of Jun 30, 2026, up 0.1% year-over-year; for FY2025, it was $25.05 million, down 1.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $25.38 million in FY2024 (-57.4%), $59.55 million in FY2023 (+141.4%), $24.67 million in FY2022 (+7.9%) and $22.87 million in FY2021 (+25.9%).
- Quarterly Operating Expenses has ranged from $5.15 million in Q4 2023 to $60.77 million in Q1 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 6.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 782.3% in Q1 2023, against a decline of 85.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.64 million (Q1 2026), $6.81 million (Q4 2025) and $6.31 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.74 Mn |
| Mar 31, 2026 | 7.64 Mn |
| Dec 31, 2025 | 6.81 Mn |
| Sep 30, 2025 | 6.31 Mn |
| Jun 30, 2025 | 9.51 Mn |
| Mar 31, 2025 | 5.85 Mn |
| Dec 31, 2024 | 8.17 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 5.82 Mn |
| Mar 31, 2024 | 8.83 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 12.09 Mn |
| Jun 30, 2023 | 40.62 Mn |
| Mar 31, 2023 | 60.77 Mn |
| Dec 31, 2022 | 7.73 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | 8.94 Mn |
| Mar 31, 2022 | 6.89 Mn |
Freightos Ltd Operating 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=operating-expenses&ticker=CRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();