Teradata (TDC) Cash & Equivalents (2009 - 2026)
Teradata (TDC) reported Cash & Equivalents of $414 million for Q2 2026, up 12.2% from $369 million a year earlier but down 49.3% from the prior quarter.
Teradata (TDC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Teradata posted Cash & Equivalents of $493 million, up 17.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $420 million in FY2024 (-13.6%), $486 million in FY2023 (-14.6%), $569 million in FY2022 (-3.9%) and $592 million in FY2021 (+11.9%).
- Five-year quarterly Cash & Equivalents spans a low of $301 million in Q2 2024 and a high of $816 million in Q1 2026.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 23.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 121.7%); the low point was Q2 2024 (a decline of 40.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $816 million (Q1 2026), $493 million (Q4 2025) and $406 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Teradata | 2.78 Bn | 653.56 Mn | 243.00 Mn | 414.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 414.00 Mn |
| Mar 31, 2026 | 816.00 Mn |
| Dec 31, 2025 | 493.00 Mn |
| Sep 30, 2025 | 406.00 Mn |
| Jun 30, 2025 | 369.00 Mn |
| Mar 31, 2025 | 368.00 Mn |
| Dec 31, 2024 | 420.00 Mn |
| Sep 30, 2024 | 348.00 Mn |
| Jun 30, 2024 | 301.00 Mn |
| Mar 31, 2024 | 337.00 Mn |
| Dec 31, 2023 | 486.00 Mn |
| Sep 30, 2023 | 348.00 Mn |
| Jun 30, 2023 | 504.00 Mn |
| Mar 31, 2023 | 551.00 Mn |
| Dec 31, 2022 | 569.00 Mn |
| Sep 30, 2022 | 506.00 Mn |
| Jun 30, 2022 | 545.00 Mn |
| Mar 31, 2022 | 404.00 Mn |
| Dec 31, 2021 | 592.00 Mn |
| Sep 30, 2021 | 613.00 Mn |
Teradata Cash & Equivalents 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=cash-and-equivalents&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();