This study aims to analyze the influence of Sales Growth and Digital Revenue on Financial Performance in digital companies in Indonesia for the period 2022-2024. The rapid development of the digital economy is not always accompanied by increased company profitability, so it is necessary to examine the factors that influence financial performance. This study uses a quantitative approach with a multiple linear regression method on 60 digital companies selected using a purposive sampling technique. Financial Performance is measured using Return on Equity (ROE), Sales Growth is measured based on annual revenue growth, while Digital Revenue is measured using Digital Revenue Share (DRS), which is the ratio of digital revenue to total company revenue. The results of the study indicate that Sales Growth has a positive and significant effect on ROE. Digital Revenue also has a positive and significant effect on ROE and has a more dominant influence than Sales Growth. Simultaneously, Sales Growth and Digital Revenue have a significant effect on Financial Performance with an Adjusted R Square value of 0.895, indicating that 89.5% of the variation in ROE can be explained by these two independent variables. These findings indicate that successful digital monetization through increased digital revenue is a key factor in improving the financial performance of digital companies.
Within the contemporary economic landscape of Indonesia, a remarkably swift expansionary trajectory has been observed across the digital sector (Purba et al., 2025; Setiawan, 2018). This systemic technological shift has fundamentally reshaped consumer behaviors, financial transaction frameworks, and prevailing corporate architectures (Amory & Mudo, 2025; Ardiansyah, 2023).
Macroeconomic forecasts published in the e-Conomy SEA report by Google, Temasek, and Bain & Company (2024) indicate that the Indonesian digital market is poised for sustained forward momentum, with projections positioning it as the leading digital economy throughout Southeast Asia. This developmental surge is visually evident in the escalating proliferation of electronic commerce marketplaces, financial technology (fintech) systems, digitized service networks, and various other technology-driven corporate platforms.
However, an expansion in operational scale and top-line revenue velocity does not automatically guarantee a parallel optimization of corporate financial outcomes. This divergence is conceptualized as the growth-profitability paradox, a phenomenon wherein remarkable sales acceleration is achieved by digital enterprises without a corresponding generation of stable, long-term net earnings. Such an empirical disconnect invites critical academic scrutiny regarding the authentic underlying variables that dictate financial performance within technology-reliant businesses.
From a conceptual standpoint, top-line sales growth is conventionally treated as a primary indicator of corporate market broadening and gross revenue enhancement (Laia et al., 2025; Purnama et al., 2020). As posited in the foundational theory of firm growth by Penrose (2009), expansionary capabilities are determined by how effectively an organization deploys its internal resource bundles to capture new market shares and amplify financial inflows.
This perspective is empirically supported by Ramli and Yusnaini (2022), whose findings demonstrate that sales velocity can actively improve shareholder equity returns (ROE), provided that robust operational cost-containment frameworks are structurally maintained by the firm. Conversely, conflicting evidence compiled by Yohana and Setyawan (2024) reveals that among Indonesian digital firms, sales acceleration often fails to yield a statistically significant effect on ultimate profitability, a limitation largely attributed to the severe financial drains caused by aggressive marketing outlays, promotional burn rates, and continuous infrastructural technology investments. This stark empirical polarization underscores a noticeable literature gap that requires systematic investigation.
Beyond generalized commercial growth, the generation of digital revenue - defined explicitly as financial inflows extracted from technology-mediated operational channels has assumed critical importance within modern economic research. Distinct from vague, qualitative assessments of organizational digitalization, digital revenue functions as a direct metric for the successful monetization of an enterprise's overarching digital roadmap. This specific stream represents the functional convergence of technology-driven value creation and strategic business execution (Bharadwaj et al., 2013; Marpaung et al., 2023).
Global empirical studies corroborate that digitalization positively regulates firm-level profitability, primarily by unlocking localized operational efficiencies and fostering continuous structural innovation (Octavina & Rita, 2021; Valaskova et al., 2025). Nonetheless, a glaring methodological gap remains within contemporary literature: existing studies overwhelmingly utilize broad, proxy-based digitalization indicators, thereby failing to isolate the specific financial contribution of tech-driven inflows via a focused metric such as the Digital Revenue Share (DRS).
Theoretically, the transmission mechanism linking digital monetization capability to financial performance can be analyzed through the lens of the Resource-Based View (RBV), which dictates that sustainable competitive advantage is achieved through the cultivation of valuable, rare, and imperfectly imitable strategic resources (Fatoni, 2026; Zahrotun et al., 2024). In modern technological ecosystems, proprietary digital assets and specialized electronic monetization competencies constitute these exact strategic configurations. Additionally, Dynamic Capability Theory indicates that long-term performance optimization is realized through an organization's agility in continuously integrating, configuring, and deploying these digital resources within highly volatile market environments (Teece, 2018).
Prompted by these unresolved empirical contradictions and methodological limitations, this study conducts a systematic evaluation of the simultaneous effects exerted by Sales Growth and Digital Revenue on corporate financial performance operationalized via Return on Equity (ROE) among listed Indonesian digital companies during the 2022-2024 fiscal window. The core novelty of this inquiry is established through its methodological adoption of the Digital Revenue Share (DRS) as a precise, quantitative proxy for digital integration, coupled with the simultaneous embedding of both commercial growth and digital monetization variables into a unified multiple regression model. Ultimately, this research is designed to provide meaningful theoretical advancements to the emerging body of digital economy literature, while simultaneously delivering empirical, actionable blueprints for corporate executives seeking to align technology expansion and monetization architectures with ultimate profitability objectives.
The theoretical study in this research aims to explain the conceptual and theoretical foundations underlying the relationship between Sales Growth, Digital Revenue, and Financial Performance. The theories used include Firm Growth Theory, Resource-Based View (RBV), Dynamic Capability Theory (DCT), and Financial Performance Theory.
Based on the empirical study that has been explained previously, there are several research gaps that are an important basis for conducting this research: (1) Inconsistency The Influence of Sales Growth on Financial Performance; (2) Digital Transformation Measurements That Are Still General in Nature; and (3) Limitations of Simultaneous Research.
The data collection technique in this study was conducted entirely through secondary data obtained from various official documents and public sources (Cooper & Schindler, 2014). Data was collected through reports, official company publications, external databases, and scientific literature.
| Descriptive Statistics | N | Minimum | Maximum | Mean | Standard Deviation |
|---|---|---|---|---|---|
| Sales Growth | 60 | 7.00 | 15.00 | 11,3500 | 1.96430 |
| Digital Revenue Share | 60 | .46 | .64 | .5485 | .04919 |
| ROE | 60 | 4.50 | 10.50 | 7,4500 | 1.70169 |
| Valid N (listwise) | 60 |
| One-Sample Kolmogorov-Smirnov Test | Unstandardized Residual | |
|---|---|---|
| N | 60 | |
| Normal Parametersa,b | Mean | .0000000 |
| Standard Deviation | 1.23353764 | |
| Most Extreme Differences | Absolute | .064 |
| Positive | .055 | |
| Negative | -.064 | |
| Test Statistics | .064 | |
| Asymp. Sig. (2-tailed)c | .200 | |
a Test distribution is Normal.
b Calculated from data.
c Lilliefors Significance Correction.
| Model | Variables | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | -4.629 | .651 | -7.109 | .000 | |||
| Sales Growth | .138 | .045 | .218 | 3.051 | .003 | .349 | 2.869 | |
| Digital Revenue Share | 19.175 | 1.800 | .763 | 10.650 | .000 | .349 | 2.869 | |
a. Dependent Variable: Y
| Model | Variables | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | .760 | 1.149 | .662 | .511 | |||
| Sales Growth | -.122 | .080 | -.334 | -1.528 | .132 | .349 | 2.869 | |
| Digital Revenue Share | 5.718 | 3.177 | .393 | 1.800 | .077 | .349 | 2.869 | |
a. Dependent Variable: abscess
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson |
|---|---|---|---|---|---|
| 1 | .948a | .898 | .895 | .40160 | 1.687 |
a. Predictors: (Constant), Digital_Revenue_Share, Sales_Growth
b. Dependent Variable: Y
| Model | Variables | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | -4.629 | .651 | -7.109 | .000 | |||
| Sales Growth | .138 | .045 | .218 | 3.051 | .003 | .349 | 2.869 | |
| Digital Revenue Share | 19.175 | 1.800 | .763 | 10.650 | .000 | .349 | 2.869 | |
a. Dependent Variable: Y
| Model | Variables | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | Tolerance | VIF | ||||
| 1 | (Constant) | -4.629 | .651 | -7.109 | .000 | |||
| Sales Growth | .138 | .045 | .218 | 3.051 | .003 | .349 | 2.869 | |
| Digital Revenue Share | 19.175 | 1.800 | .763 | 10.650 | .000 | .349 | 2.869 | |
a. Dependent Variable: Y
| Model | Source | Sum of Squares | df | Mean Square | F | Sig. |
|---|---|---|---|---|---|---|
| 1 | Regression | 81.075 | 2 | 40.537 | 251.347 | .000b |
| Residual | 9.193 | 57 | .161 | |||
| Total | 90.268 | 59 |
a. Dependent Variable: Y
b. Predictors: (Constant), Digital_Revenue_Share, Sales_Growth
| Model | R | R Square | Adjusted R Square | Standard Error of the Estimate | Durbin-Watson |
|---|---|---|---|---|---|
| 1 | .948a | .898 | .895 | .40160 | 1.687 |
a. Predictors: (Constant), Digital_Revenue_Share, Sales_Growth
The research scope includes digital enterprises listed on the Indonesia Stock Exchange (IDX) for the period 2022-2024. Descriptive analysis, classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation), and multiple linear regression analysis were conducted.
The results indicate that Sales Growth has a positive and significant effect on ROE, and Digital Revenue also has a positive and significant effect on ROE, playing a dominant role. The adjusted R square value of 0.895 indicates that 89.5% of the variation in ROE can be explained by these two variables.
Sales growth has a positive and significant impact on the financial performance (ROE) of digital companies in Indonesia. Digital revenue (Digital Revenue Share) has a positive and significant impact on the financial performance (ROE) of digital companies in Indonesia. Simultaneous growth in digital sales and revenue has a significant impact on the financial performance of digital companies in Indonesia.