Climb Global Solutions (CLMB) Accumulated Expenses (2011 - 2026)
Climb Global Solutions (CLMB) posted Accumulated Expenses of $35.06 million for Q2 2026, up 182.7% from $12.4 million a year earlier and up 13.0% from the prior quarter.
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 Q2 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 three quarters, with growth averaging 62.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 219.6%; the weakest was Q1 2025, with a decline of 45.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $31.02 million (Q1 2026), $26.84 million (Q4 2025) and $13.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Climb Global Solutions | 599.38 Mn | 414.64 Mn | 30.16 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.60 Mn |
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_KEY
import 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();