OpenWork Inc. Q2 FY2025 earnings call

• Overall Financial Performance

  • Total company H1 operating revenue reached 2.26 billion yen, a 33.8% YoY increase. Total H1 operating profit reached 836 million yen, a 78.3% YoY increase, with the stronger outperformance driven by a shift in marketing investment timing.
  • Key platform KPIs are solid: OpenWork has 7.42 million registered users and 19.5 million cumulative employee reviews. Web resume registrants and contracted client counts for OpenWork Recruiting both grew as planned.

• Business Model & Strategic Changes

  • OpenWork Recruiting transitioned to a paid model starting in Q2 2025, adding an initial fee and ongoing annual basic usage fee to filter for committed corporate clients and expand customer success support, replacing the prior free trial model that accumulated many inactive contracts.
  • Advertising spending policy changed from concentrated spending in Q1 and Q4 of prior years to even distribution centered on web advertising, with targeted TV CM spending scheduled mostly for the second half (H2) of the fiscal year. H1 ad spend was intentionally lowered, with increases planned for H2.
  • The previously announced share repurchase program has been completed after reaching the maximum purchase amount. 71.9% of the planned share count was purchased (representing just over 3% of total outstanding shares), as the firm's solid share price reduced the number of shares that could be bought at the budget cap.
  • A new shareholder digital gift benefit program was launched, including an option to exchange benefits for OpenWork employee review access, with alternative gift options for existing paid members.

• Operational Updates

  • The Osaka branch launched in January 2025 with a small team, and early performance in the Kansai region is solid, with planned expansion via targeted regional TV CM.

1. OpenWork Recruiting (core recruitment service): 860 million yen in operating revenue for the first half (H1) of the fiscal year, representing a 36.8% year-over-year (YoY) increase. This segment accounts for approximately 38.05% of total H1 company operating revenue, and has maintained a growth trend of exceeding Q1 operating revenue by over 20% consistently. Contracted client count grew steadily to 4,050 companies following the introduction of paid plans.
2. OpenWork (employee review platform): 310 million yen in standalone Q2 operating revenue, a 20.0% YoY increase. This segment accounts for approximately 13.72% of total H1 company operating revenue. Unlike prior periods that planned for flat or slightly declining revenue, the segment is expected to grow full-year due to higher advertising unit prices.
3. Alternative Data Service: The segment also achieved steady YoY growth, with no specific absolute revenue figure provided in the transcript.

• Management maintains the original full-year guidance of 4.5 billion yen in operating revenue and 1.13 billion yen in operating revenue, with no upward revision despite H1 results exceeding plan.
  • The higher H1 operating profit is a temporary effect from shifted spending timing, and the firm plans to allocate the saved budget to growth-focused investments in marketing, product development, and AI initiatives in H2, bringing full-year results in line with original guidance.
  • OpenWork's full-year revenue growth driven by higher advertising unit prices is expected, after multiple quarters of flat or declining revenue in prior periods.
  • Total annual operating expenses remain on track to hit the full-year plan, with no changes to total expenditure budgets.

• Competitive risk: Recruit-owned Glassdoor could become a meaningful competitive threat if Recruit prioritizes Japanese localization and large-scale marketing investment, though management notes strong network effect and first-mover advantage reduce near-term risk.
  • Generative AI risk: Growth in generative AI could reduce organic user traffic to the OpenWork platform, a risk already observed in overseas markets that is expected to reach Japan.
  • AI development risk: Developing new AI-powered features (such as AI agents) currently carries excessively high costs that hurt profitability, requiring careful balancing of innovation and margin goals.
  • Business model transition risk: The shift to mandatory basic usage fees for OpenWork Recruiting has increased sales difficulty, and renewal rates for existing clients are still too early to assess, with some non-active clients expected to drop contracts during the transition.
  • Advertising market uncertainty: While current advertising unit price increases are driving growth, it is unclear if this trend will continue due to potential shifts from generative AI and changes in the hiring market.

Q: What is OpenWork's competitive positioning relative to other Japanese review and hiring platforms, and how does it compare to Glassdoor? / A: Management views other domestic review platforms as both collaborators expanding the overall market and competitors. OpenWork claims leadership in both quantity and quality of review data in Japan, as only OpenWork data has been peer-reviewed and cited in academic research for predicting corporate performance and stock prices. For Glassdoor, management acknowledges Recruit's large resources mean full investment in Japan would create meaningful competitive risk, but notes Recruit has so far prioritized global platform building over Japanese localization. The strong network effect of OpenWork's existing domestic user and review base creates high barriers to entry that limit near-term disruption. (452 chars)

Q: Why hasn't management raised full-year guidance despite H1 operating profit coming in well ahead of plan? / A: The H1 over-performance is not driven by better core business results, but by the decision to shift advertising and growth investment from H1 to H2. The firm plans to deploy this saved capital into marketing, product development, and AI initiatives that support long-term growth, rather than letting it flow through to full-year profit. As such, management reaffirms the original full-year guidance and sees no reason to revise it at this time. (398 chars)

Q: How does OpenWork maintain review quality, and how does it respond to company requests to remove negative reviews? / A: OpenWork invests heavily in quality control, combining machine learning checks with full-time manual review teams, and updates review policies annually with input from legal scholars. While older reviews have reduced weighting in company scores, they are retained as valuable historical natural language data. Management confirms it does not remove negative reviews just because a company requests it: only reviews that violate published policies (such as clear defamation or trade secret disclosure) are removed after verification, and this is very rare. The policy extends even to negative reviews of OpenWork's own management, which remain published to demonstrate commitment to neutrality. (478 chars)

Q: What is OpenWork's approach to AI development, and what are the key opportunities and challenges? / A: OpenWork has used machine learning for years and is actively exploring use cases for generative AI, leveraging its large library of unique user-generated natural language review data that works very well with AI models. The key challenge is balancing innovation with cost: many promising AI use cases (such as AI agents for job matching) currently have unacceptably high costs that hurt profitability. Management is currently focused on building a clean, structured data foundation for AI, and plans to launch new OpenWork-specific AI products later this year, prioritizing features that deliver tangible value to users and clients without excessive cost. (461 chars)