ZDAINasdaqGeneral Bldg Contractors - Nonresidential BldgsUS GAAP · USD

DirectBooking Technology Co., Ltd.

DirectBooking Technology Co., Ltd. develops hotel software and direct-connect booking infrastructure for the travel and hospitality sector. Its core offerings include property management systems, direct-connect SaaS tools, membership management systems, and AI-enabled booking and fulfillment capabilities, with operations and market coverage centered on China while the company is listed in the United States.

Kysy yhtiöstä
Liikevaihto8,9milj. USD
−53,6 %v/v
Liikevoitto (EBIT)−13,7milj. USD
−91,6 %v/v
EBIT-marginaali−153,7%
−116,5 %-yks.v/v
Nettotulos−13,3milj. USD
−90,4 %v/v

Tilikausi 2026 · muutos edellisvuodesta

Kehitys 2022–2026

−20−1001020milj. USD2022: 10 milj. USD2022: EBIT 2,3 milj. USD20222023: 11 milj. USD2023: EBIT 0,99 milj. USD20232024: 13 milj. USD2024: EBIT 1,4 milj. USD20242025: 19 milj. USD2025: EBIT −7,2 milj. USD20252026: 8,9 milj. USD2026: EBIT −14 milj. USD20268,9−14
LiikevaihtoLiikevoitto (EBIT)
Kysy Clarifolta: DirectBooking Technology Co., Ltd.

Liiketoiminta

Osuus liikevaihdosta
Hotel PMS30 %

Software used by hotels to manage reservations, room inventory, and front-/back-office operations.

Direct-connect SaaS25 %

Cloud-based connectivity tools that link hotels to booking channels and supply systems.

Membership management15 %

Systems for hotel loyalty, member data, and private-domain customer operations.

Revenue management15 %

Dynamic pricing and channel optimization solutions for hotel distribution efficiency.

AI booking platform15 %

AI-enabled direct booking and fulfillment layer for travel and hospitality use cases.

Asiakkaat

The main customers are hotels and hospitality operators that use the company’s software to manage bookings, room status, direct sales, and guest data. The platform is also designed for travelers and consumers through the booking layer, but the economic buyer is primarily the hotel seeking lower channel costs and better direct-sales control. The company also appears to serve partners in travel, scenic-spot, and hospitality ecosystems through integrated supply access and AI-driven booking workflows.

Hotel operators

Buy PMS, connectivity, and revenue tools to run rooms, reservations, and guest operations.

Direct-sales focused hotels

Use direct-connect and membership tools to reduce OTA dependence and lift direct bookings.

Hospitality and travel partners

Integrate supply, fulfillment, and AI booking workflows into broader travel ecosystems.

End consumers

Use the booking interface for personalized hotel search and one-stop reservation.

Scenic-spot and tourism platforms

Access booking and fulfillment capabilities tied to tourism traffic and local travel demand.

Strategia

The company is positioning its hotel software base as the infrastructure layer for a broader AI-driven direct-booking platform. Its strategy centers on expanding hotel coverage, improving intelligent pricing and marketing tools, and using partnerships to deepen distribution across lodging and tourism use cases. The goal is to reduce hotels’ reliance on high-commission channels while building a more integrated booking and fulfillment ecosystem.

Scale hotel coverageKeskipitkä aikaväli

A larger installed base increases network value and improves platform liquidity for supply and demand.

Upgrade to intelligent platform servicesLyhyt aikaväli

AI features can differentiate the product beyond standard SaaS and improve hotel operating efficiency.

Reduce dependence on OTA channelsKeskipitkä aikaväli

Lowering channel commissions can improve hotel economics and make the direct-booking proposition stronger.

Broaden travel ecosystem use casesKeskipitkä aikaväli

Integration with scenic-spot and tourism traffic can extend the platform beyond hotel software alone.

Maantiede

2025

The company is a U.S.-listed issuer, but its operating footprint and commercial focus are centered on China. Reported coverage spans first-, second-, third-tier cities and county-level lower-tier markets across China, indicating a broad domestic rollout rather than a single-city concentration. Its strategic partnerships and AI travel initiatives are also tied to China’s hotel and tourism ecosystem, which makes domestic travel demand and platform competition especially important.

Hong Kong100 %

Riskit

The business depends on winning hotels away from entrenched OTA and distribution channels, so adoption risk is central to the model. Execution risk is also high because the company is trying to combine software, AI, and marketplace-style booking flows across a large and fragmented hospitality market. In addition, the company’s China-heavy commercial exposure, credit collection profile, and lease/bank borrowing obligations create operational and financial sensitivity.

Järjestetty vakavuuden mukaan
MatalaKohtalainenKorkeaMatalaKohtalainenKorkeaVaikutus →Todennäköisyys →OTA and channel competition1China market concentration2Slow hotel adoption3Credit loss on receivables4Lease and borrowing exposure5
Vaikutus on riskin vakavuus ja todennäköisyys sen toteutumisen todennäköisyys lähivuosina, molemmat arvioitu yhtiön raporttien perusteella. Numerot vastaavat listaa.
  1. OTA and channel competitionVaikutus: KorkeaTodennäköisyys: Korkea

    Established distribution platforms have scale, brand, and traffic advantages.

    Kohdistuu: Direct-sales and booking channels

  2. China market concentrationVaikutus: KorkeaTodennäköisyys: Korkea

    Most of the operating footprint is in China, tying results to local travel demand and policy conditions.

    Kohdistuu: China hotels and tourism

  3. Slow hotel adoptionVaikutus: KorkeaTodennäköisyys: Kohtalainen

    Hotels must change workflows and trust new direct-booking infrastructure before benefits are realized.

    Kohdistuu: Hotel SaaS and AI booking platform

  4. Credit loss on receivablesVaikutus: KeskitasoTodennäköisyys: Kohtalainen

    The company uses expected credit loss estimates for accounts receivable, contract assets, and other receivables.

    Kohdistuu: Customer collections and counterparties

  5. Lease and borrowing exposureVaikutus: KeskitasoTodennäköisyys: Kohtalainen

    Interest expense is linked to finance leases and bank borrowings, increasing sensitivity to funding conditions.

    Kohdistuu: Operating and finance leases

Kysy Clarifolta: DirectBooking Technology Co., Ltd.

Kirjanpito

Harkinnanvaraiset erät
Expected credit losses

Accounts receivable, retention receivable, and other receivables are recorded net of estimated losses.

Vaikutus: Affects provision expense and carrying value of financial assets

Lease accounting

Right-of-use asset amortization and lease liabilities affect expenses and leverage presentation.

Vaikutus: Impacts operating expenses, interest expense, and balance sheet liabilities

Borrowing costs

Interest expense includes finance leases and bank borrowings.

Vaikutus: Affects finance costs and net earnings

Income tax positions

The company discloses uncertain tax position assessment under ASC 740.

Vaikutus: Could affect tax liabilities and future tax expense

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Päivitetty: 28.9.2026

DirectBooking Technology Co., Ltd. (ZDAI) liikevaihto, tulos ja tunnusluvut 2026 – Clarifo