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 | 49.47 Bn | 21.72 Bn | 695.95 Mn | 13.55% |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 11.22% |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 1.12% |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | - |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 23.08% |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 114.12% |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 9.61% |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 15.90% |
| 10 | Freightos | 39.05 Mn | -64.36 Mn | 5.20 Mn | -49.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49.12% |
| Mar 31, 2026 | -48.21% |
| Dec 31, 2025 | -39.78% |
| Sep 30, 2025 | -43.57% |
| Jun 30, 2025 | -42.41% |
| Mar 31, 2025 | -40.80% |
| Dec 31, 2024 | -37.65% |
| Sep 30, 2024 | -30.02% |
| Jun 30, 2024 | -35.47% |
| Mar 31, 2024 | -35.23% |
| Dec 31, 2023 | -101.90% |
| Sep 30, 2023 | -102.21% |
| Jun 30, 2023 | -90.94% |
| Mar 31, 2023 | -133.41% |
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();