Teradata (TDC) Total Liabilities (2009 - 2026)
Teradata (TDC) posted Total Liabilities of $1.07 billion for Q2 2026, down 31.8% from $1.56 billion a year earlier and down 32.8% from the prior quarter.
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Analysis
Teradata (TDC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata's Total Liabilities came in at $1.55 billion, down 1.4% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Teradata's Total Liabilities was $1.57 billion in FY2024 (-9.6%), $1.74 billion in FY2023 (-1.5%), $1.76 billion in FY2022 (+3.2%) and $1.71 billion in FY2021 (-4.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2010.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 5.9%; the weakest was Q2 2026, with a decline of 31.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.59 billion (Q1 2026), $1.55 billion (Q4 2025) and $1.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.55 Bn |
| Sep 30, 2025 | 1.54 Bn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 1.59 Bn |
| Dec 31, 2024 | 1.57 Bn |
| Sep 30, 2024 | 1.53 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 1.69 Bn |
| Dec 31, 2023 | 1.74 Bn |
| Sep 30, 2023 | 1.62 Bn |
| Jun 30, 2023 | 1.65 Bn |
| Mar 31, 2023 | 1.76 Bn |
| Dec 31, 2022 | 1.76 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 1.67 Bn |
| Mar 31, 2022 | 1.66 Bn |
| Dec 31, 2021 | 1.71 Bn |
| Sep 30, 2021 | 1.68 Bn |
API Access
Teradata Total 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-liabilities&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();