Climb Global Solutions (CLMB) EBITDA (2010 - 2026)
Climb Global Solutions' EBITDA came in at $9.47 million for Q2 2026, down 4.7% from $9.94 million a year earlier but up 61.4% from the prior quarter.
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Analysis
Climb Global Solutions (CLMB) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Climb Global Solutions reported EBITDA of $35.8 million, down 8.7% year-over-year; for FY2025, it came in at $36.91 million, up 14.4% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $32.26 million in FY2024 (+66.4%), $19.39 million in FY2023 (-2.0%), $19.78 million in FY2022 (+44.5%) and $13.69 million in FY2021 (+123.8%).
- The five-year range for quarterly EBITDA is $2.11 million (Q2 2023) to $13.06 million (Q4 2024).
- Year-over-year, EBITDA has declined for four consecutive quarters, with growth averaging 39.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 262.7%), and the weakest in Q2 2023 (a decline of 53.6%).
- Business Quant data shows CLMB's EBITDA at $5.87 million (Q1 2026), $11.55 million (Q4 2025) and $8.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 17.01 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 1.02 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 515.72 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 564.60 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 591.24 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 749.12 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 412.93 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 208.55 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 268.27 Mn |
| 10 | Climb Global Solutions | 763.15 Mn | 561.30 Mn | 33.01 Mn | 12.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.02 Mn |
| Jun 30, 2026 | 9.47 Mn |
| Mar 31, 2026 | 5.87 Mn |
| Dec 31, 2025 | 11.55 Mn |
| Sep 30, 2025 | 8.91 Mn |
| Jun 30, 2025 | 9.94 Mn |
| Mar 31, 2025 | 6.52 Mn |
| Dec 31, 2024 | 13.06 Mn |
| Sep 30, 2024 | 9.71 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 4.37 Mn |
| Dec 31, 2023 | 8.32 Mn |
| Sep 30, 2023 | 3.91 Mn |
| Jun 30, 2023 | 2.11 Mn |
| Mar 31, 2023 | 4.95 Mn |
| Dec 31, 2022 | 6.86 Mn |
| Sep 30, 2022 | 4.24 Mn |
| Jun 30, 2022 | 4.55 Mn |
| Mar 31, 2022 | 3.73 Mn |
| Dec 31, 2021 | 4.76 Mn |
API Access
Climb Global Solutions EBITDA 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=ebitda&ticker=CLMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();