As of August 2025
For decades treasury ran on predictable timing: ACH overnight, wires in business hours, float you could model. Real-time rails removed the timing assumption entirely.
When a customer can move money instantly at any hour, the cash-positioning playbook built for batch processing stops working. FedNow and RTP did more than speed payments up. They took the schedule away.

The rails went 24/7. The funding tools that backstop them did not.
The numbers behind the shift are not gradual. RTP network value jumped 94 percent in 2024 to $246 billion, and FedNow went from roughly $14 million in quarterly value at the end of 2023 to about $20 billion a year later. The mix matters more than the totals: by The Clearing House’s count, 42 percent of RTP transactions now settle overnight, on weekends, or on holidays. A $2 million payment can land at 11 PM on a Friday and force an immediate liquidity decision with the markets closed and the usual funding sources shut.
Off-hours share
42%
of RTP transactions settle overnight, on weekends, or on holidays (The Clearing House, Jan 2025).
RTP value growth
+94%
RTP network value growth in 2024, to $246 billion (The Clearing House).
Fed backstop
Hours unchanged
the Fed discount window keeps business hours, so after-hours funding is not available (FRB Atlanta, 2023).
What stops working
Cash forecasting tuned for batch windows. Investment strategies that assume business-hour timing. Credit facilities scoped for 9-to-5. Risk frameworks built around deferred settlement. Every one of them quietly assumes money moves on a schedule, and that assumption is gone.
What replaces it
Hourly cash positioning instead of daily. Instant-payment reserves held separate from operating cash. 24/7 credit lines negotiated with correspondent banks ahead of need. Real-time analytics and alerting so a Friday-night inflow is a notification, not a Monday-morning surprise.
Real-time payments changed the operating model, not only the speed. The treasury teams still running batch-era assumptions are the ones that hit cash crunches at the worst possible moment.




