Freightos (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.
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Analysis
Freightos (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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 49.37 Bn | 21.62 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.36 Bn | 21.13 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.47 Bn | 21.29 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 19.58 Bn | 12.22 Bn | 543.00 Mn | 378.00 Mn |
| 6 | Manhattan Associates | 14.60 Bn | 13.66 Bn | 174.30 Mn | 225.19 Mn |
| 7 | Bentley Systems | 13.85 Bn | 13.33 Bn | 349.55 Mn | 226.93 Mn |
| 8 | Trimble | 12.59 Bn | 11.68 Bn | 659.10 Mn | 517.10 Mn |
| 9 | Costar | 12.16 Bn | 7.54 Bn | 741.00 Mn | 657.00 Mn |
| 10 | Freightos | 37.51 Mn | -19.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.74 Mn |
| Mar 31, 2026 | 11.00 Mn |
| Dec 31, 2025 | 10.37 Mn |
| Sep 30, 2025 | 9.64 Mn |
| Jun 30, 2025 | 9.51 Mn |
| Mar 31, 2025 | 9.32 Mn |
| Dec 31, 2024 | 12.49 Mn |
| Sep 30, 2024 | 8.89 Mn |
| Jun 30, 2024 | 8.24 Mn |
| Mar 31, 2024 | 8.83 Mn |
| Dec 31, 2023 | 7.91 Mn |
| Sep 30, 2023 | 12.09 Mn |
| Jun 30, 2023 | 8.82 Mn |
| Mar 31, 2023 | 60.77 Mn |
| Dec 31, 2022 | 11.77 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | 8.94 Mn |
| Mar 31, 2022 | 6.89 Mn |
API Access
Freightos 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_KEYimport 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();