Company: FSLY
Filing Date: 2025-11-07
Form Type: 10-Q
Source: 0001517413-25-000299
Chunk: 181

Company: Fastly, Inc.
Filing Date: 2025-11-07
Form: 10-Q
Item: Part II, Item 1A
Chunk 181
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 our prices or develop new pricing models, which could adversely affect our revenue, gross margin, profitability, financial position, and cash flow.

67

Our sales and onboarding cycles with customers can be long and unpredictable, and our sales and onboarding efforts require considerable time and expense.

The timing of our sales with our enterprise customers and related revenue recognition is difficult to predict because of the length and unpredictability of the sales cycle for these customers. In addition, for our enterprise customers, the lengthy sales cycle for the evaluation and implementation of our products may also cause us to experience a delay between expenses for such sales efforts and the generation of corresponding revenue. The length of our sales cycle for these customers, from initial evaluation to payment, can range from several months to well over a year and can vary substantially from customer to customer. Similarly, the onboarding and ramping process with new enterprise customers, or with existing customers that are moving additional traffic onto our platform, can take several months. As the purchase of our products can be dependent upon customer initiatives, our sales cycle can extend to even longer periods of time. Customers often view a switch to our platform as a strategic decision requiring significant investment and, as a result, frequently require considerable time to evaluate, test, and qualify our product offering prior to entering into or expanding a contract commitment. During the sales cycle, we expend significant time and money on sales and marketing and contract negotiation activities, which may not result in a completed sale. Additional factors that may influence the length and variability of our sales cycle include:

•the effectiveness of our sales force, particularly new salespeople and sales leadership, as we increase the size of our sales force and train our new salespeople to sell to enterprise customers;

•the discretionary nature of customers’ purchasing decisions and budget cycles;

•customers’ procurement processes, including their evaluation of competing products;

•economic conditions and other factors affecting customer budgets;

•the regulatory environment in which our customers operate;

•integration complexity for a customer deployment;

•the customer’s familiarity with edge cloud computing platforms;

•evolving customer demands; 

•selling new products to enterprise customers; and

•competitive conditions.

Given these factors, it is difficult to predict whether and when a customer will switch to our platform.

Given that it can take several months for our customers to ramp up their usage of our platform, during that time, we may not be able to generate enough revenue from a particular customer or that customer may not increase their usage in a meaningful way. Moreover, because the switching costs are fairly low,