Teradata (TDC) Interest Expenses (2015 - 2026)
Teradata (TDC) reported Interest Expenses of $6 million for Q2 2026, unchanged from $6 million a year earlier and unchanged from the prior quarter.
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Analysis
Teradata (TDC) Interest Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Teradata's Interest Expenses came in at $25 million, down 7.4% year-over-year; for FY2025, it was $26 million, down 10.3% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $29 million in FY2024 (-3.3%), $30 million in FY2023 (+25.0%), $24 million in FY2022 (-7.7%) and $26 million in FY2021 (-3.7%).
- Five-year quarterly Interest Expenses spans a low of $5 million in Q2 2022 and a high of $8 million in Q1 2024.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 40.0%); the low point was Q2 2022 (a decline of 28.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6 million (Q1 2026), $6 million (Q4 2025) and $7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -89.29 Mn |
| 10 | Teradata | 2.68 Bn | 552.19 Mn | 243.00 Mn | 6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 6.00 Mn |
| Mar 31, 2025 | 7.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 7.00 Mn |
| Mar 31, 2024 | 8.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | 8.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Sep 30, 2021 | 6.00 Mn |
API Access
Teradata Interest Expenses 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=interest-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();