Chegg (CHGG) Long-Term Debt Repayments (2013 - 2026)
Chegg (CHGG) posted Long-Term Debt Repayments of $19.45 million for Q1 2026, down 95.3% from $416.49 million a year earlier but up 132.8% from the prior quarter.
Chegg (CHGG) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
For FY2025, Chegg's Long-Term Debt Repayments came in at $424.85 million, up 340.2% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In prior years, Chegg's Long-Term Debt Repayments was $96.52 million in FY2024 (-80.9%), $505.99 million in FY2023 (+26.1%), $401.2 million in FY2022 (+33.4%) and $300.76 million in FY2021 (-1.1%).
- Quarterly Long-Term Debt Repayments has run from a low of $4,000 in Q3 2021 to a high of $416.49 million in Q1 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.93 Bn | 24.17 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.38 Bn | 21.15 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.16 Bn | 20.98 Bn | 490.47 Mn | - |
| 5 | Toast | 18.72 Bn | 11.39 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.25 Bn | 13.31 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.44 Bn | 12.43 Bn | 168.33 Mn | - |
| 8 | Costar | 13.28 Bn | 7.23 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.81 Bn | 11.27 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Chegg | 79.70 Mn | -80.26 Mn | 28.28 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19.45 Mn |
| Dec 31, 2025 | 8.36 Mn |
| Mar 31, 2025 | 416.49 Mn |
| Dec 31, 2024 | 96.52 Mn |
| Sep 30, 2023 | 136.23 Mn |
| Sep 30, 2022 | 401.20 Mn |
| Dec 31, 2021 | 7,000.00 |
| Sep 30, 2021 | 4,000.00 |
| Dec 31, 2020 | 144.29 Mn |
| Sep 30, 2020 | 159.68 Mn |
| Dec 31, 2013 | 31.00 Mn |
Chegg Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CHGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CHGG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();