Climb Global Solutions (CLMB) Shares Outstanding (Diluted) (2010 - 2026)
Climb Global Solutions (CLMB) posted Weighted Average Shares Outstanding (Diluted) of 18.3 million for Q3 2026, up 0.8% from 18.14 million a year earlier and unchanged from the prior quarter.
Climb Global Solutions (CLMB) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Climb Global Solutions' Weighted Average Shares Outstanding (Diluted) came in at 18.1 million, up 1.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for four consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Climb Global Solutions' Weighted Average Shares Outstanding (Diluted) was 17.86 million in FY2024 (+1.5%), 17.6 million in FY2023 (+1.6%), 17.32 million in FY2022 (+1.4%) and 17.09 million in FY2021 (-0.4%).
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 19 quarters, with growth averaging 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q2 2023, with growth of 1.7%; the weakest was Q4 2021, with a decline of 0.4%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 18.3 million (Q2 2026), 18.22 million (Q1 2026) and 18.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 466.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 10.50 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 125.70 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 225.49 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 79.41 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 51.87 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 51.47 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 83.42 Mn |
| 10 | Climb Global Solutions | 763.15 Mn | 561.30 Mn | 33.01 Mn | 18.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.32 Mn |
| Jun 30, 2026 | 18.30 Mn |
| Mar 31, 2026 | 18.22 Mn |
| Dec 31, 2025 | 18.10 Mn |
| Sep 30, 2025 | 18.14 Mn |
| Jun 30, 2025 | 18.08 Mn |
| Mar 31, 2025 | 17.99 Mn |
| Dec 31, 2024 | 17.86 Mn |
| Sep 30, 2024 | 17.90 Mn |
| Jun 30, 2024 | 17.84 Mn |
| Mar 31, 2024 | 17.75 Mn |
| Dec 31, 2023 | 17.60 Mn |
| Sep 30, 2023 | 17.66 Mn |
| Jun 30, 2023 | 17.58 Mn |
| Mar 31, 2023 | 17.46 Mn |
| Dec 31, 2022 | 17.32 Mn |
| Sep 30, 2022 | 17.36 Mn |
| Jun 30, 2022 | 17.28 Mn |
| Mar 31, 2022 | 17.24 Mn |
| Dec 31, 2021 | 17.09 Mn |
Climb Global Solutions Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CLMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CLMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();