Climb Global Solutions (CLMB) Accumulated Expenses (2011 - 2026)
Climb Global Solutions (CLMB) posted Accumulated Expenses of $51.42 million for Q3 2026, up 277.5% from $13.62 million a year earlier and up 46.7% from the prior quarter.
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Analysis
Climb Global Solutions (CLMB) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Climb Global Solutions' Accumulated Expenses came in at $26.84 million, up 56.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- In prior years, Climb Global Solutions' Accumulated Expenses was $17.18 million in FY2024 (-25.0%), $22.9 million in FY2023 (+170.8%), $8.46 million in FY2022 (+1.1%) and $8.36 million in FY2021 (-13.3%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2011.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 76.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2026, with growth of 277.5%; the weakest was Q1 2025, with a decline of 45.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $35.06 million (Q2 2026), $31.02 million (Q1 2026) and $26.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.94 Bn | -78.32 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 29.76 Bn | 23.73 Bn | 1.91 Bn |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn |
| 4 | Cdw | 20.43 Bn | 17.33 Bn | 1.39 Bn |
| 5 | Cgi | 18.44 Bn | 16.24 Bn | - |
| 6 | Td Synnex | 18.14 Bn | 12.29 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.79 Bn | 8.74 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.12 Bn | 4.04 Bn | 445.94 Mn |
| 9 | Avnet | 6.94 Bn | 6.12 Bn | 865.03 Mn |
| 10 | Climb Global Solutions | 763.06 Mn | 561.21 Mn | 33.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.42 Mn |
| Jun 30, 2026 | 35.06 Mn |
| Mar 31, 2026 | 31.02 Mn |
| Dec 31, 2025 | 26.84 Mn |
| Sep 30, 2025 | 13.62 Mn |
| Jun 30, 2025 | 12.40 Mn |
| Mar 31, 2025 | 9.71 Mn |
| Dec 31, 2024 | 17.18 Mn |
| Sep 30, 2024 | 21.61 Mn |
| Jun 30, 2024 | 15.43 Mn |
| Mar 31, 2024 | 17.82 Mn |
| Dec 31, 2023 | 22.90 Mn |
| Sep 30, 2023 | 7.96 Mn |
| Jun 30, 2023 | 10.96 Mn |
| Mar 31, 2023 | 11.20 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 8.71 Mn |
| Jun 30, 2022 | 6.19 Mn |
| Mar 31, 2022 | 7.27 Mn |
| Dec 31, 2021 | 8.36 Mn |
API Access
Climb Global Solutions Accumulated Expenses 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=accumulated-expenses&ticker=CLMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();