Teradata (TDC) Total Current Liabilities (2009 - 2026)
Teradata (TDC) recorded Total Current Liabilities of $845 million in Q2 2026, down 5.9% from $898 million a year earlier and down 11.4% from the prior quarter.
Teradata (TDC) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata reported Total Current Liabilities of $914 million, down 1.7% from FY2024.
- Annual Total Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $930 million in FY2024 (-6.6%), $996 million in FY2023 (-1.1%), $1.01 billion in FY2022 (-2.5%) and $1.03 billion in FY2021 (+8.5%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Current Liabilities rose in three of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 10.2% in Q3 2023, against a decline of 15.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $954 million (Q1 2026), $914 million (Q4 2025) and $906 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn | 845.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 845.00 Mn |
| Mar 31, 2026 | 954.00 Mn |
| Dec 31, 2025 | 914.00 Mn |
| Sep 30, 2025 | 906.00 Mn |
| Jun 30, 2025 | 898.00 Mn |
| Mar 31, 2025 | 946.00 Mn |
| Dec 31, 2024 | 930.00 Mn |
| Sep 30, 2024 | 875.00 Mn |
| Jun 30, 2024 | 889.00 Mn |
| Mar 31, 2024 | 983.00 Mn |
| Dec 31, 2023 | 996.00 Mn |
| Sep 30, 2023 | 885.00 Mn |
| Jun 30, 2023 | 910.00 Mn |
| Mar 31, 2023 | 999.00 Mn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 803.00 Mn |
| Jun 30, 2022 | 878.00 Mn |
| Mar 31, 2022 | 993.00 Mn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 955.00 Mn |
Teradata Total 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-current-liabilities&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();