Freightos (CRGO) Return on Capital Employed [ROCE] (2023 - 2026)
Freightos (CRGO) recorded Return on Capital Employed [ROCE] of -45.85% in Q2 2026, down 15.21 percentage points from -30.64% a year earlier but up 7.82 percentage points from the prior quarter.
Freightos (CRGO) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Freightos reported Return on Capital Employed [ROCE] of -36.59%, down 0.58 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a three-year change of +20.22 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -36.01% in FY2024 (+113.50 pp), -149.52% in FY2023 (-92.71 pp) and -56.81% in FY2022.
- Quarterly Return on Capital Employed [ROCE] has ranged from -146.10% in Q1 2023 to -30.07% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of +13.11 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 107.67 percentage points in Q1 2024, against a drop of 17.38 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -53.67% (Q1 2026), -44.33% (Q4 2025) and -34.72% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Freightos | 49.84 Mn | -26.22 Mn | 5.20 Mn | -45.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.85% |
| Mar 31, 2026 | -53.67% |
| Dec 31, 2025 | -44.33% |
| Sep 30, 2025 | -34.72% |
| Jun 30, 2025 | -30.64% |
| Mar 31, 2025 | -36.29% |
| Dec 31, 2024 | -32.51% |
| Sep 30, 2024 | -30.07% |
| Jun 30, 2024 | -36.25% |
| Mar 31, 2024 | -38.43% |
| Dec 31, 2023 | -112.76% |
| Sep 30, 2023 | -95.97% |
| Jun 30, 2023 | -85.11% |
| Mar 31, 2023 | -146.10% |
Freightos Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();