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INFA

Informatica Inc.

INFA

Informatica Inc. NYSE
$24.79 0.00% (+0.00)

Market Cap $7.54 B
52w High $27.88
52w Low $15.65
Dividend Yield 0%
P/E 826.33
Volume 2.90M
Outstanding Shares 304.28M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $439.161M $297.87M $3.998M 0.91% $0.01 $107.212M
Q2-2025 $407.344M $326.118M $-4.649M -1.141% $-0.015 $23.148M
Q1-2025 $403.897M $289.058M $1.34M 0.332% $0.004 $60.035M
Q4-2024 $428.305M $284.945M $9.754M 2.277% $0.032 $133.433M
Q3-2024 $422.481M $289.939M $-13.985M -3.31% $-0.046 $86.454M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $1.472B $5.297B $2.848B $2.449B
Q2-2025 $1.299B $5.255B $2.87B $2.385B
Q1-2025 $1.252B $5.092B $2.814B $2.278B
Q4-2024 $1.232B $5.28B $2.972B $2.307B
Q3-2024 $1.24B $5.174B $2.766B $2.408B

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $3.998M $148.707M $155.304M $2.599M $297.199M $146.924M
Q2-2025 $-4.649M $24.576M $51.675M $-1.291M $96.01M $23.015M
Q1-2025 $1.34M $154.174M $-6.339M $-119.502M $43.805M $151.027M
Q4-2024 $9.754M $146.858M $-26.75M $-120.343M $-20.113M $145.251M
Q3-2024 $-13.985M $106.498M $23.25M $-9.961M $134.108M $105.726M

Revenue by Products

Product Q4-2024Q1-2025Q2-2025Q3-2025
Maintenance And Professional Services
Maintenance And Professional Services
$0 $120.00M $120.00M $120.00M
Subscription Revenues
Subscription Revenues
$0 $280.00M $290.00M $320.00M
Professional Services
Professional Services
$20.00M $0 $0 $0
Subscription
Subscription
$550.00M $0 $0 $0

Five-Year Company Overview

Income Statement

Income Statement Informatica’s revenue has grown steadily over the past several years, showing a durable demand picture rather than boom‑and‑bust cycles. Profitability has gradually improved: gross margins are strong, operating income has moved from barely above break‑even to more meaningfully positive, and the business finally turned a small net profit most recently after years of losses. The improvement suggests better cost control and benefits from the cloud and subscription shift, but the margin level is still relatively thin for a mature infrastructure software company. That means execution on further efficiency and scale remains important, especially as competition in data management intensifies.


Balance Sheet

Balance Sheet The balance sheet shows a company that has been slowly strengthening its financial foundation. Total assets have inched up, while shareholders’ equity has grown notably since before the IPO, indicating a thicker capital cushion. Cash has built over time, which provides flexibility, while debt remains meaningful but has been nudging down from earlier peaks, pointing to gradual de‑risking. Overall, leverage is still a factor to watch, but the direction of travel has been toward a healthier, more balanced capital structure.


Cash Flow

Cash Flow Informatica’s cash generation is a clear bright spot. Operating cash flow has been consistently positive and has trended higher, even in years when accounting profits were negative, which signals that the core business model is cash‑rich. Free cash flow closely tracks operating cash flow because capital spending is relatively modest, reflecting an asset‑light, software‑centric model. This gives the company room to invest in product development, service its debt, and support integration with Salesforce without relying heavily on external financing, as long as cash conversion remains strong.


Competitive Edge

Competitive Edge Informatica occupies a strong niche in enterprise data management, anchored by its unified Intelligent Data Management Cloud platform and long history serving large, complex customers. Its deep integrations with major cloud providers and broad partner ecosystem, including global systems integrators, create meaningful switching costs and help keep customer retention high. The Salesforce acquisition adds another powerful distribution channel and deeper embedding in enterprise workflows, but also introduces integration and positioning risks as customers weigh vendor concentration and overlapping tools. Competition remains intense from both large platform vendors and newer cloud‑native players, so maintaining differentiation and relevance in a maturing market is a key ongoing challenge.


Innovation and R&D

Innovation and R&D The company is clearly leaning into innovation, especially around AI‑driven data management through its CLAIRE engine and emerging “agentic AI” vision. Its focus on a single, cloud‑native platform that covers integration, quality, governance, and master data management gives it a coherent technology roadmap rather than a patchwork of point solutions. Features like CLAIRE Agents and data marketplace capabilities show an effort to move up the value chain from plumbing to more intelligent, automated data operations. The flip side is that staying at the forefront of AI and cloud infrastructure requires sustained, heavy R&D investment, so the payback from these efforts will need to show up in durable customer adoption and pricing power over time.


Summary

Informatica looks like a business that has successfully stabilized its top line and is steadily improving profitability and cash generation as it completes a major transition to cloud and subscription models. The balance sheet is in better shape than a few years ago, with more cash and somewhat lower leverage, though debt is still material enough to monitor. Its competitive position rests on a broad, integrated data platform, strong enterprise relationships, and deep cloud partnerships, now reinforced—but also complicated—by the Salesforce acquisition. The main tensions to watch are whether margins can continue to expand while funding aggressive AI and cloud innovation, and whether the company can preserve its independent value proposition and customer trust inside a much larger platform owner. Overall, the story is one of gradual financial improvement combined with a strategically important, but execution‑sensitive, role in the enterprise data and AI stack.