State of the Market
Power is the name of the game. Power generation, power storage, and power use. Power will determine the next era of global dynamics.
At the forefront is Economic Power—tariffs being a stark example. The United States has continued to push its new tariff regime, and so far, this has been met with mixed success.
The US-UK trade deal appears to advantage the US compared to the prior regime, and the recently announced 90-day reduction in US-China tariffs returns the two nations to the negotiating table. What’s more, non-tariff agreements in the Middle East are being pushed by the US.
Economic Power takes decades to generate, wise governance to store, and a steady hand to effectively utilize. Its aggressive use, especially by the US, is shaping the new global trade regime.
However, we must also consider Energy Power—a power that has special ramifications in the age of AI.
Energy is emerging as the key bottleneck in the new global race for AI supremacy. Notably, a single AI query uses 5–10x the energy of a single Google search. Further, GPUs are more heavily utilized for AI rather than the CPUs used for traditional linear computing. These GPUs require significantly more energy for AI compute tasks and for cooling.
Increased energy needs are having cascading effects through the power life cycle. Every competitive nation is racing to invest in more power generation, more power storage, and efficient delivery systems to turn potential power into real Energy Power and, in turn, to Economic Power.
New AI realities continue to cause company adjustments. A major example is Microsoft’s recent layoff of about 3% of its workforce soon after the CEO’s comments suggesting that 20-30% of new internal code is being generated by AI. This trend will likely continue cascading through the software industry. Software multiples are also adjusting to economic and technological realities, with median multiples down 22% from the start of 2025 (from 6.0x to 4.7x NTM Revenue).
While the market continues to wait for additional economic data demonstrating the impact of the evolving tariff regime, major historical data is largely steady. April CPI came in at 2.3% (up slightly from March) and Unemployment was unchanged from March at 4.2%. Initial Q1 GDP estimates suggest shrinkage by 0.3%, likely due to higher-than-normal imports preceding expected tariffs. The Fed kept rates steady, continuing its cautious approach until future data fully reflects the impact of tariffs.
For now, Economic Power is being leveraged while Energy Power is being pursued. One may beget the other and, if we invest wisely, perhaps we will see these Powers turn to long-term Prosperity.
Median
NTM Rev Multiple
4.7x
Median
NTM Rev Growth
9.7%
Median
Gross Margin
75.4%
Top 10*
NTM Rev Multiple
13.0x
Top 10*
NTM Rev Growth
21.5%
Top 10*
Gross Margin
75.9%
*Median multiple, growth rate, and gross margin for the top 10 companies based on EV/NTM Revenue.
Valuation Trends
Index Leaders
Top 10 companies in the Software Index based on current EV / NTM Revenue Multiple.
Multiples by Growth Tranche
Valuation multiples are strongly correlated to expected growth. Scalar has selected the tranches based on current market conditions.
EV/NTM Revenue Multiple
High Growth (> 20%)
10.7x
Multiple | Growth |
---|
EV/NTM Revenue Multiple
Average Growth (10%-20%)
6.5x
Multiple | Growth |
---|
EV/NTM Revenue Multiple
Low Growth (< 10%)
3.3x
Multiple | Growth |
---|
EV/NTM Revenue Multiple - Top Quartile
NTM Revenue Multiple and NTM Growth Rate for the top quartile of companies in the Scalar Software Index, ordered by NTM Growth Rate.
* PLTR (73.2x, 31.0% NTM Growth) has been excluded to enhance visual meaning of this chart.
Last updated Q1 2025
Median
Net Dollar Retention
107.5%
Median
ARR Growth
14.8%
Median
Payback Period
34 months
Top 10*
Net Dollar Retention
113.5%
Top 10*
ARR Growth
25.2%
Top 10*
Payback Period
29 months
*Median multiple, growth rate, and gross margin for the top 10 companies based on EV/NTM Revenue.
Pre- & Post- Money Deals
Averages for the trailing 6 months of successful software and SAAS fundraising, including rounds Series A through Series D.
Average
Deal Size
Average
Pre-Money Valuation
Average
Post-Money Valuation
The data for the Scalar Software Index is collected based on market data on the last trading day of the previous month.
Metric definitions:
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Data Sources: S&P Global Market Intelligence and PitchBook Data, Inc.
Enterprise Software Operating Metrics provided by Public Comps.
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