Climb Global Solutions (CLMB) Total Non-Current Liabilities (2017 - 2026)
Climb Global Solutions (CLMB) posted Total Non-Current Liabilities of $335.01 million for Q2 2026, up 6.3% from $315.13 million a year earlier but down 0.6% from the prior quarter.
Climb Global Solutions (CLMB) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Climb Global Solutions' Total Non-Current Liabilities came in at $343.63 million, down 9.1% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of 26.8% (FY2022 to FY2025).
- In prior years, Climb Global Solutions' Total Non-Current Liabilities was $378.21 million in FY2024 (+46.7%), $257.82 million in FY2023 (+53.1%) and $168.42 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $124.56 million in Q2 2022 to a high of $378.21 million in Q4 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 25.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2024, with growth of 74.1%; the weakest was Q4 2025, with a decline of 9.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $337.15 million (Q1 2026), $343.63 million (Q4 2025) and $266.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | -649.00 Mn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 5.81 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.42 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 7.97 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 8.45 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 32.02 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 30.80 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 1.03 Bn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 10.19 Bn |
| 10 | Climb Global Solutions | 763.15 Mn | 561.30 Mn | 33.01 Mn | 381.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 381.82 Mn |
| Jun 30, 2026 | 335.01 Mn |
| Mar 31, 2026 | 337.15 Mn |
| Dec 31, 2025 | 343.63 Mn |
| Sep 30, 2025 | 266.45 Mn |
| Jun 30, 2025 | 315.13 Mn |
| Mar 31, 2025 | 274.12 Mn |
| Dec 31, 2024 | 378.21 Mn |
| Sep 30, 2024 | 281.78 Mn |
| Jun 30, 2024 | 222.21 Mn |
| Mar 31, 2024 | 221.14 Mn |
| Dec 31, 2023 | 257.82 Mn |
| Sep 30, 2023 | 161.87 Mn |
| Jun 30, 2023 | 164.87 Mn |
| Mar 31, 2023 | 180.61 Mn |
| Dec 31, 2022 | 168.42 Mn |
| Sep 30, 2022 | 144.38 Mn |
| Jun 30, 2022 | 124.56 Mn |
| Mar 31, 2022 | 134.83 Mn |
| Sep 30, 2020 | 93.89 Mn |
Climb Global Solutions Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();