Payback and ROI breakdown
| Metric | Value |
|---|---|
| Stressed daily earnings (after token-price shock) | — |
| Net monthly income (earnings minus power & maintenance) | — |
| Payback period | — |
| 1-year ROI | — |
| 3-year ROI | — |
| Break-even daily earnings (minimum to cover opex only) | — |
| Break-even stress (how far earnings could fall before opex alone isn't covered) | — |
Bear-market sensitivity sweep
Same hardware and opex inputs above, payback and ROI recalculated at four token-price stress levels so you can see the bear-case at a glance without re-entering numbers.
| Token price stress | Payback period | 1yr ROI | 3yr ROI |
|---|
How it works
This model takes your daily earnings at today's token price and applies your stress-test shock: stressed daily earnings = daily earnings × (1 + stress% / 100). From there, net monthly income = stressed daily earnings × 30 − monthly power − monthly maintenance — the actual cash left over each month after running costs. Payback period is simply hardware cost divided by net monthly income; if net monthly income is zero or negative, payback is shown as "Never" because opex alone exceeds what the node is earning, regardless of the hardware cost. 1-year and 3-year ROI annualize that net income over 12 and 36 months respectively, subtract the original hardware cost, and express the result as a percentage of that hardware cost. Finally, break-even daily earnings is the bare minimum daily earnings needed just to cover power and maintenance — ignoring hardware payback entirely — and break-even stress converts that into a percentage: how far your token-price-driven earnings could crash before you're not even covering the electricity bill. Walking the Helium Mobile default through this: $1.50/day × 30 − $0.50 = $44.50 net monthly income; $400 hardware ÷ $44.50 ≈ 9.0 months payback; 1-year ROI is ($44.50×12−$400)/$400×100 ≈ 33.5%; break-even daily earnings is $0.50/30 ≈ $0.017/day, meaning earnings could fall roughly 98.9% before opex alone stops being covered — a reflection of how trivial a hotspot's ~5-8W power draw is next to its earnings.
Reading the numbers
Helium Mobile at today's token price (the default view): net monthly income is $44.50, payback lands at roughly 9.0 months, one-year ROI is a healthy +33.5%, and three-year ROI compounds to +300.5% since the hardware is long since paid off and opex stays tiny. Now stress-test a 50% token-price crash on the same hotspot (stressPct = −50): stressed daily earnings falls to $0.75, net monthly income drops to $22.00, payback stretches to roughly 18.2 months, and one-year ROI flips to −34.0% even though three-year ROI is still positive at +98.0% — the point being that a token-price crash roughly doubles your payback timeline and can turn a good-looking first-year return negative, without the hotspot itself doing anything differently. The io.net GPU worker preset tells a tighter story even without any stress applied: at $1,800 hardware cost, $3.24/day gross earnings and $39/month in power for a 450W RTX 4090, net monthly income is $58.20, payback runs roughly 30.9 months — well over two years — one-year ROI is already negative at −61.2%, and even three-year ROI is a modest +16.4%. That's before factoring in io.net's separate IO token stake requirement, which ties up additional capital this calculator doesn't model. The gap between the two networks illustrates why "hardware payback" numbers need opex and token-price sensitivity checked before comparing across DePIN networks — a lower sticker price and higher headline earnings don't automatically mean a better return once power draw and stake requirements are counted.
FAQ
How is DePIN node payback different from crypto mining ROI?
Classic crypto mining ROI (like Bitcoin ASIC payback) is driven mostly by network difficulty — as more miners join, your share of the fixed block reward shrinks, so your daily earnings tend to decay over the hardware's life independent of what the token is worth. DePIN node income works differently: there's usually no direct "hashrate competition" resetting your rewards the same way. Instead, a Helium Mobile hotspot earns based on coverage contributed and data offloaded, and an io.net GPU worker earns based on compute rented by real customers — both paid out in a token whose USD value floats with the market. That means DePIN payback is overwhelmingly a token-price bet dressed up as a hardware purchase: the underlying unit economics (coverage provided, compute delivered) can stay perfectly stable while your USD-denominated payback period swings wildly just because the token price moved. That's exactly why this calculator's stress test scales earnings by a token-price change rather than a network-difficulty curve.
What does the bear-market stress test show and why does it matter?
The stress-test field lets you shock your daily earnings by a percentage — for example −50% to simulate the token used to pay you losing half its USD value while the underlying network activity (coverage, compute demand) stays flat. Because opex (power, maintenance) is a fixed dollar cost that doesn't move with the token price, a token-price crash eats disproportionately into your net income: in the Helium example on this page, a 50% price crash roughly halves net monthly income and pushes payback from about 9 months to about 18 months, and flips one-year ROI from positive to negative. This matters because most DePIN marketing quotes a single "daily earnings" number at today's token price, which silently assumes that price holds for the entire payback period — an assumption crypto's history says you shouldn't make without checking the downside case first.
What isn't this calculator modeling?
Several real costs and risks are left out deliberately to keep the model simple and auditable. It doesn't model hardware resale value at the end of the payback period, which could offset some of your capital outlay if there's a working secondhand market for that specific device. It doesn't model warranty coverage or hardware failure risk — a dead hotspot or GPU rig mid-payback is a real loss this tool doesn't subtract. For io.net specifically, it doesn't model the IO token stake many workers are required to lock up as collateral, which is separate capital tied up on top of the hardware cost itself and carries its own token-price exposure. And it doesn't model network-specific reward-halving or emission-schedule changes — Helium, io.net and similar networks periodically adjust reward curves through governance, and a schedule change can move your real earnings independent of both token price and the stress-test slider on this page.
How does Helium's HIP-149 change the risk profile compared to a pure token-price-driven network like io.net?
HIP-149, which passed on July 29, 2026, set a $0.05-per-GB minimum payout floor for Helium Mobile data offload, denominated in USD rather than a fixed token amount. That's a meaningful structural hedge: it puts a dollar-denominated floor under part of a Helium deployer's earnings, so a token-price crash doesn't automatically crush that portion of income the way it would on a network with no such floor. io.net's GPU-rental earnings, by contrast, are priced in USD per GPU-hour at the point of sale to the compute customer, but the payout to the node operator is still typically settled in IO tokens, so operators are exposed to token-price swings between when compute is delivered and when rewards are claimed or sold, with no equivalent payout floor. Neither structure eliminates token-price risk entirely, but HIP-149 gives Helium Mobile deployers a partial, network-level backstop that pure-token-payout DePIN networks generally don't offer today.
About the presets
The Helium Mobile Hotspot preset uses $400 hardware cost, $1.50/day earnings and $0.50/month power — typical indoor hotspot hardware runs $250-500, deployer earnings are commonly reported in the $0.90-$2.50/day range in MOBILE tokens as of 2026, and a hotspot's ~5-8W continuous draw is close to negligible at typical $0.12/kWh residential rates. The io.net GPU Worker (RTX 4090) preset uses $1,800 hardware cost, $3.24/day earnings and $39/month power — io.net rents RTX 4090 GPU-hours at roughly $0.20-0.35/hr, and $3.24/day assumes ~50% utilization at the ~$0.27/hr midpoint (0.27 × 24 × 0.5 = $3.24 gross); an RTX 4090 draws roughly 450W, which at a $0.12/kWh blended electricity rate works out to 0.45kW × 24h × 30d = 324kWh/mo × $0.12 ≈ $39/mo. io.net also requires a per-chip IO token stake — a separate capital lockup this calculator doesn't model, so treat the io.net numbers as hardware-and-power-only economics. The Custom preset clears the fields to zero so you can plug in numbers for any other DePIN network. Render (roughly $38M/month in aggregate network revenue) and Akash (roughly 80% GPU utilization, claiming 60-75% savings versus AWS/GCP) are real, active DePIN networks, but they don't have a single standardized piece of consumer hardware with published per-unit economics the way a Helium hotspot or a single GPU rental does — if you have an actual deployment quote for either, use Custom and enter your own figures.