Teradata (TDC) Total Non-Current Liabilities (2009 - 2026)
Teradata's Total Non-Current Liabilities came in at $1.03 billion for Q2 2026, down 32.3% from $1.52 billion a year earlier and down 34.2% from the prior quarter.
Teradata (TDC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata's Total Non-Current Liabilities was $1.53 billion, down 0.8% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.54 billion in FY2024 (-8.0%), $1.68 billion in FY2023 (-0.5%), $1.69 billion in FY2022 (+5.3%) and $1.6 billion in FY2021 (-3.4%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2010.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 7.6%), and the weakest in Q2 2026 (a decline of 32.3%).
- Business Quant data shows TDC's Total Non-Current Liabilities at $1.57 billion (Q1 2026), $1.53 billion (Q4 2025) and $1.52 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Teradata | 2.67 Bn | 539.17 Mn | 243.00 Mn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.57 Bn |
| Dec 31, 2025 | 1.53 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.52 Bn |
| Mar 31, 2025 | 1.57 Bn |
| Dec 31, 2024 | 1.54 Bn |
| Sep 30, 2024 | 1.50 Bn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 1.63 Bn |
| Dec 31, 2023 | 1.68 Bn |
| Sep 30, 2023 | 1.56 Bn |
| Jun 30, 2023 | 1.59 Bn |
| Mar 31, 2023 | 1.67 Bn |
| Dec 31, 2022 | 1.69 Bn |
| Sep 30, 2022 | 1.50 Bn |
| Jun 30, 2022 | 1.58 Bn |
| Mar 31, 2022 | 1.56 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Sep 30, 2021 | 1.56 Bn |
Teradata 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=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TDC", "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=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();