Teradata (TDC) FCF Margin (2009 - 2026)
Teradata's FCF Margin was 25.61% in Q2 2026, up 16.05 percentage points from 9.56% a year earlier but down 62.45 percentage points from the prior quarter.
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Analysis
Teradata (TDC) FCF Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teradata's FCF Margin was 43.52% through Jun 30, 2026, up 27.76 percentage points year-over-year; for FY2025, it came in at 17.20%, up 1.25 percentage points from FY2024.
- FCF Margin shows a five-year change of +5.05 percentage points (FY2020 to FY2025).
- In earlier years, FCF Margin was 15.94% in FY2024 (-3.48 pp), 19.42% in FY2023 (-3.14 pp), 22.56% in FY2022 (-0.13 pp) and 22.69% in FY2021 (+10.55 pp).
- Quarterly FCF Margin has moved between 1.67% (Q1 2025) and 88.06% (Q1 2026) over five years.
- Compared with a year earlier, FCF Margin was higher in five of the last eight quarters, with an average year-over-year change of +14.03 percentage points.
- The best year-over-year quarter for FCF Margin over five years was Q1 2026 (a gain of 86.39 percentage points); the worst was Q2 2022 (a drop of 20.85 percentage points).
- Per Business Quant data, TDC's FCF Margin in the three quarters before Q2 2026 was 88.06% (Q1 2026), 35.87% (Q4 2025) and 21.39% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 36.77% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 27.59% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 47.15% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 5.42% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 27.28% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 28.94% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | -0.11% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 47.16% |
| 10 | Teradata | 2.68 Bn | 552.19 Mn | 243.00 Mn | 25.61% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.61% |
| Mar 31, 2026 | 88.06% |
| Dec 31, 2025 | 35.87% |
| Sep 30, 2025 | 21.39% |
| Jun 30, 2025 | 9.56% |
| Mar 31, 2025 | 1.67% |
| Dec 31, 2024 | 36.43% |
| Sep 30, 2024 | 15.68% |
| Jun 30, 2024 | 9.17% |
| Mar 31, 2024 | 4.52% |
| Dec 31, 2023 | 36.76% |
| Sep 30, 2023 | 8.22% |
| Jun 30, 2023 | 10.17% |
| Mar 31, 2023 | 22.06% |
| Dec 31, 2022 | 26.77% |
| Sep 30, 2022 | 7.43% |
| Jun 30, 2022 | 23.95% |
| Mar 31, 2022 | 30.24% |
| Dec 31, 2021 | 18.11% |
| Sep 30, 2021 | 5.00% |
API Access
Teradata FCF Margin 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=fcf-margin&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();