Teradata (TDC) Long-Term Debt Repayments (2012 - 2026)
Teradata (TDC) recorded Long-Term Debt Repayments of $439 million in Q2 2026, compared with $17 million a year earlier.
Teradata (TDC) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a TTM basis, Teradata's Long-Term Debt Repayments came in at $492 million as of Jun 30, 2026, up 634.3% year-over-year; for FY2025, it was $69 million, down 2.8% from FY2024.
- Annual Long-Term Debt Repayments has declined for three straight years, with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $71 million in FY2024 (-13.4%), $82 million in FY2023 (-80.1%), $413 million in FY2022 (+348.9%) and $92 million in FY2021 (+31.4%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q2 2012.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last seven quarters, with an average decline of 5.1%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 46.7% in Q1 2022, against a decline of 94.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $17 million (Q1 2026), $18 million (Q4 2025) and $18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | - |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | - |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | - |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Teradata | 2.94 Bn | 814.30 Mn | 243.00 Mn | 465.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.00 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | 24.00 Mn |
| Sep 30, 2025 | 25.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | 23.00 Mn |
| Sep 30, 2024 | 24.00 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 20.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 21.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 30, 2022 | 22.00 Mn |
| Jun 30, 2022 | 423.00 Mn |
| Mar 31, 2022 | 35.00 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 37.00 Mn |
Teradata Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();