Climb Global Solutions (CLMB) Return on Sales [ROS] (2010 - 2026)
Climb Global Solutions (CLMB) recorded Return on Sales [ROS] of 4.24% in Q2 2026, down 0.75 percentage points from 4.99% a year earlier but up 2.11 percentage points from the prior quarter.
Climb Global Solutions (CLMB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Climb Global Solutions' Return on Sales [ROS] came in at 3.90% as of Jun 30, 2026, down 1.81 percentage points year-over-year; for FY2025, it came in at 4.47%, down 1.54 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +2.36 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 6.01% in FY2024 (+1.33 pp), 4.68% in FY2023 (-1.00 pp), 5.69% in FY2022 (+1.42 pp) and 4.26% in FY2021 (+2.16 pp).
- Quarterly Return on Sales [ROS] has ranged from 1.85% in Q2 2023 to 7.25% in Q4 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -0.50 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3.27 percentage points in Q3 2021, against a drop of 4.20 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.13% (Q1 2026), 4.91% (Q4 2025) and 4.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 15.40% |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 16.42% |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 7.25% |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 15.85% |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 2.98% |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 3.78% |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 12.33% |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 2.79% |
| 10 | Climb Global Solutions | 763.15 Mn | 561.30 Mn | 33.01 Mn | 4.52% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.52% |
| Jun 30, 2026 | 4.24% |
| Mar 31, 2026 | 2.13% |
| Dec 31, 2025 | 4.91% |
| Sep 30, 2025 | 4.30% |
| Jun 30, 2025 | 4.99% |
| Mar 31, 2025 | 3.46% |
| Dec 31, 2024 | 7.25% |
| Sep 30, 2024 | 7.13% |
| Jun 30, 2024 | 4.62% |
| Mar 31, 2024 | 3.79% |
| Dec 31, 2023 | 6.98% |
| Sep 30, 2023 | 4.19% |
| Jun 30, 2023 | 1.85% |
| Mar 31, 2023 | 4.98% |
| Dec 31, 2022 | 6.93% |
| Sep 30, 2022 | 4.82% |
| Jun 30, 2022 | 6.05% |
| Mar 31, 2022 | 4.73% |
| Dec 31, 2021 | 5.83% |
Climb Global Solutions Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CLMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CLMB", "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-sales-%5Bros%5D&ticker=CLMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();