Freightos (CRGO) Selling, General & Administrative (2022 - 2026)
Freightos' Selling, General & Administrative came in at $3.05 million for Q2 2026, up 16.4% from $2.62 million a year earlier and up 46.0% from the prior quarter.
Freightos (CRGO) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Freightos reported Selling, General & Administrative of $9.28 million, down 9.4% year-over-year; for FY2025, it came in at $7.54 million, down 20.1% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $9.43 million in FY2024 (+14.4%), $8.25 million in FY2023 (+23.0%), $6.7 million in FY2022 (+6.9%) and $6.27 million in FY2021 (+37.5%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2024.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 17.0%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2024 (growth of 192.7%), and the weakest in Q3 2024 (a decline of 53.5%).
- Business Quant data shows CRGO's Selling, General & Administrative at $2.09 million (Q1 2026), $2.13 million (Q4 2025) and $2.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 124.70 Mn |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 67.38 Mn |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | 62.16 Mn |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 98.00 Mn |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 29.26 Mn |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 51.03 Mn |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 61.50 Mn |
| 10 | Freightos | 39.05 Mn | -64.36 Mn | 5.20 Mn | 3.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Mn |
| Mar 31, 2026 | 3.01 Mn |
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 3.08 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2024 | 5.99 Mn |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 2.05 Mn |
| Sep 30, 2023 | 4.27 Mn |
| Jun 30, 2023 | 2.35 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 2.20 Mn |
| Jun 30, 2022 | 2.81 Mn |
| Mar 31, 2022 | 2.18 Mn |
Freightos Selling, General & Administrative 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=selling-general-and-administrative&ticker=CRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();