Chegg (CHGG) Total Non-Current Liabilities (2013 - 2026)
Chegg (CHGG) recorded Total Non-Current Liabilities of $16.05 million in Q2 2026, down 18.2% from $19.63 million a year earlier but up 0.2% from the prior quarter.
Chegg (CHGG) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Chegg reported Total Non-Current Liabilities of $17.44 million, down 88.2% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -59.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $147.63 million in FY2024 (-44.1%), $264.16 million in FY2023 (-78.2%), $1.21 billion in FY2022 (-28.7%) and $1.7 billion in FY2021 (+10.8%).
- Quarterly Total Non-Current Liabilities has ranged from $16.02 million in Q1 2026 to $1.7 billion in Q2 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 16 consecutive quarters, with an average decline of 67.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 10.8% in Q4 2021, against a decline of 93.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.02 million (Q1 2026), $17.44 million (Q4 2025) and $17.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Chegg | 77.64 Mn | -82.32 Mn | 28.28 Mn | 16.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.05 Mn |
| Mar 31, 2026 | 16.02 Mn |
| Dec 31, 2025 | 17.44 Mn |
| Sep 30, 2025 | 17.61 Mn |
| Jun 30, 2025 | 19.63 Mn |
| Mar 31, 2025 | 82.07 Mn |
| Dec 31, 2024 | 147.63 Mn |
| Sep 30, 2024 | 271.85 Mn |
| Jun 30, 2024 | 263.54 Mn |
| Mar 31, 2024 | 263.98 Mn |
| Dec 31, 2023 | 264.16 Mn |
| Sep 30, 2023 | 621.06 Mn |
| Jun 30, 2023 | 790.72 Mn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.21 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.70 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 1.70 Bn |
| Sep 30, 2021 | 1.70 Bn |
Chegg 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=CHGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();