Ripple Treasury, powered by GTreasury, is an enterprise treasury management system for cash visibility, forecasting, risk, and payments with native RLUSD…
Custom-quoted enterprise pricing; Ripple Treasury does not publish public pricing tiers. Prospective customers request a demo or contact sales for a quote based on modules, scale, and connectivity requirements.
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Last updated
August 15, 2026
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Ripple Treasury is an enterprise-grade treasury management system (TMS) delivered on the GTreasury platform, following Ripple's acquisition and rebranding of GTreasury. It is built for corporate finance teams that need a single source of truth for cash, liquidity, risk, and payments across global operations. The platform delivers 100% cash visibility across worldwide accounts, connecting to 13,000+ banks for real-time liquidity data, automated reconciliation, and exception management. Its cash-flow forecasting module supports working-capital, AR/AP, and scenario planning, with Ripple positioning cash visibility and forecasting as achievable within roughly 90 days of implementation. A distinguishing element is the combination of a traditional TMS with digital-asset rails: Ripple Treasury offers native stablecoin infrastructure (RLUSD), enterprise digital wallets, a unified dashboard spanning fiat and digital holdings, and 24/7 cross-border payment capability. Additional modules cover risk management (FX and interest-rate hedging, debt and investment lifecycle management, hedge accounting, and audit/compliance), payments and netting (global payment workflows, in-house banking, and transaction-volume reduction), and connectivity (ERP integrations and a bank API library). The GSmart AI module layers AI-driven insights on top of treasury data to surface anomalies and speed decision-making. Ripple Treasury is used by large enterprises such as Woolworths, Volvo, Subway, American Airlines, and Hanesbrands, and its modular design lets organizations adopt only the functionality they need.
Key Features
Real-time cash visibility — 100% cash and liquidity visibility across global accounts, connecting to 13,000+ banks for real-time data, automated reconciliation, and exception management.
Cash-flow forecasting — Working-capital, AR/AP, and scenario-based cash-flow forecasting, with cash visibility and forecasting typically achievable within roughly 90 days of implementation.
FX & interest-rate risk management — Hedging tools for FX and interest-rate exposure, debt and investment lifecycle management, hedge accounting, and audit/compliance support.
Global payments & netting — Global payment workflows, in-house banking, and multilateral netting to reduce transaction volume and cross-border payment costs.
RLUSD stablecoin infrastructure — Native digital-asset infrastructure including RLUSD stablecoin support, enterprise digital wallets, and a unified dashboard spanning fiat and digital holdings.
24/7 cross-border payments — Round-the-clock cross-border payment capability built on Ripple's digital-asset rails, alongside traditional banking connectivity.
ERP & bank connectivity — Integrations with ERP systems and a bank API library, connecting to a network of 13,000+ banks for data aggregation and payment execution.
GSmart AI insights — The GSmart AI module layers AI-driven insights on top of treasury data to surface anomalies and speed up decision-making.
Pros & Cons
Pros
Combines a mature enterprise TMS (GTreasury) with modern digital-asset and RLUSD stablecoin infrastructure in one platform
Broad bank connectivity (13,000+ banks) for real-time cash visibility and automated reconciliation
Comprehensive risk management including FX/interest-rate hedging and hedge accounting
Modular design lets organizations adopt only the functionality they need
Supports 24/7 cross-border payments and in-house banking/netting to reduce transaction volume and FX exposure
Proven at scale with large global enterprise customers
Cons
Enterprise-focused with no public pricing; requires a sales conversation and likely significant implementation investment
Full cash visibility and forecasting value is stated as achievable within ~90 days, so it is not an instant-deploy tool
Digital-asset/stablecoin features may exceed the needs of teams wanting only a conventional TMS
Breadth of modules can mean a steeper onboarding for smaller finance teams