Freightos (CRGO) Enterprise Value (2021 - 2026)
Freightos' Enterprise Value was $56.72 million in Q2 2026, down 34.6% from $86.69 million a year earlier and down 16.5% from the prior quarter.
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Analysis
Freightos (CRGO) Enterprise Value (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Freightos' Enterprise Value was $2.04 million through Jun 30, 2026, down 30.5% year-over-year; for FY2025, it came in at $99.15 million, down 22.0% from FY2024.
- Enterprise Value has now declined for three consecutive years, with a four-year compound annual growth rate of -25.0% (FY2021 to FY2025).
- In earlier years, Enterprise Value was $127.06 million in FY2024 (-8.2%), $138.43 million in FY2023 (-61.9%), $363.74 million in FY2022 (+16.1%) and $313.38 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Enterprise Value since Q3 2024.
- Compared with a year earlier, Enterprise Value has declined for three straight quarters, with growth averaging 28.1% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q3 2025 (growth of 343.9%); the worst was Q3 2023 (a decline of 85.8%).
- Per Business Quant data, CRGO's Enterprise Value in the three quarters before Q2 2026 was $67.94 million (Q1 2026), $98.83 million (Q4 2025) and $144.04 million (Q3 2025).
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 |
|---|---|
| Jun 30, 2026 | 56.72 Mn |
| Mar 31, 2026 | 67.94 Mn |
| Dec 31, 2025 | 98.83 Mn |
| Sep 30, 2025 | 144.04 Mn |
| Jun 30, 2025 | 86.69 Mn |
| Mar 31, 2025 | 95.98 Mn |
| Dec 31, 2024 | 127.29 Mn |
| Sep 30, 2024 | 32.45 Mn |
| Jun 30, 2024 | 82.75 Mn |
| Mar 31, 2024 | 93.55 Mn |
| Dec 31, 2023 | 138.86 Mn |
| Sep 30, 2023 | 47.95 Mn |
| Jun 30, 2023 | 138.77 Mn |
| Mar 31, 2023 | 57.74 Mn |
| Dec 31, 2022 | 363.99 Mn |
| Sep 30, 2022 | 336.71 Mn |
| Jun 30, 2022 | 328.44 Mn |
| Mar 31, 2022 | 323.63 Mn |
| Dec 31, 2021 | 313.38 Mn |
API Access
Freightos Enterprise Value 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=enterprise-value&ticker=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();