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Explainers

Texas Provider Billing Reliability, Ranked by the Data

How accurate is your electric company's bill? LightCompanies ranks Texas REPs on billing reliability using PUCT complaint rates, estimated-bill flags, and the math behind them.

By Enri Zhulati | June 7, 2026

Billing is where Texas retail electricity providers (REPs) lose customers’ trust faster than anywhere else. Price gets the headlines. Billing gets the complaints. The Public Utility Commission of Texas (PUCT) logs every formal complaint by category, and billing disputes consistently top the list, ahead of service quality, marketing, and contract problems combined in most quarterly snapshots.

This matters because billing reliability is the one provider trait you cannot shop for on a price page. A 9.8 cents per kWh plan and an 11.2 cents per kWh plan look like a clear winner until the cheaper company estimates your meter for three months and back-bills you 400 kWh at the higher tier. The advertised rate was real. The bill was not.

LightCompanies rates billing reliability as one of five scoring dimensions, alongside rate transparency, customer service responsiveness, plan flexibility, and renewable mix. Here is how that score gets built, what the numbers mean, and where the data runs thin.

What Billing Reliability Actually Measures

Billing reliability is not one thing. It is four behaviors a provider either gets right or gets wrong every cycle.

Meter-read accuracy. Does the provider bill your actual usage, or does it estimate? Estimated bills are legal in Texas under specific conditions (a meter the TDU could not read, a new account, a access problem). They become a reliability problem when a provider estimates repeatedly, then trues up with a large catch-up charge.

Rate application. Did the provider charge the rate on your Electricity Facts Label (EFL), including the correct tier, the correct TDU pass-through, and any usage credits you qualified for? A plan with a 1,000 kWh bill credit that quietly fails to apply at 998 kWh is a billing-accuracy failure, not a fine-print technicality.

Statement clarity. Can you reconcile the total from the line items? Or does the bill bury the energy charge, the base charge, and the TDU delivery charge so you cannot tell what you actually paid per kWh?

Dispute resolution. When the bill is wrong, how fast does the provider fix it? The PUCT requires a response, but response speed and quality vary widely.

LightCompanies weights meter-read accuracy and rate application heaviest, because those two produce the dollar errors. Clarity and dispute handling matter, but a clear bill for the wrong amount is still the wrong amount.

Where the Complaint Data Comes From

The primary source is the PUCT’s complaint records, which the agency aggregates by provider and category. A useful secondary source is the Better Business Bureau, where billing collection and billing dispute complaints are tagged separately from service complaints.

Two disclosures before any number gets quoted.

First, the PUCT publishes complaint data in quarterly snapshots, not a live feed. The figures below reflect the most recent published quarter available at the time of writing. They will lag the current quarter by several weeks. This is the latest LightCompanies has, and it is not real-time.

Second, raw complaint counts mislead. A provider with 2 million customers will log more total complaints than a provider with 80,000 customers even if the large provider is twice as reliable per capita. The only honest comparison is the complaint rate: complaints per 1,000 customers, or per 100,000 if the market is large enough to need the precision.

The Math That Makes the Ranking Honest

Here is the calculation LightCompanies uses, with worked numbers so you can run it yourself on any provider the PUCT reports.

Take the billing complaints filed against a provider in a quarter. Divide by the provider’s residential customer count. Multiply by 100,000. That gives complaints per 100,000 customers, which normalizes across companies of wildly different sizes.

Worked example. Provider A has 1,500,000 residential customers and 180 billing complaints in the quarter. That is 180 divided by 1,500,000, times 100,000, which equals 12.0 complaints per 100,000 customers.

Provider B has 120,000 customers and 54 billing complaints. That is 54 divided by 120,000, times 100,000, which equals 45.0 complaints per 100,000.

Provider A logged more than three times the raw complaints (180 vs 54) but is roughly four times more reliable per capita (12.0 vs 45.0). If you ranked on raw counts, you would punish the larger, steadier operator and reward the smaller, sloppier one. The rate metric flips the result to the truth.

One caveat on this math: the PUCT does not always publish exact residential customer counts per provider, and some figures come from the provider’s own filings or from ERCOT load data. Where the denominator is an estimate, the rate is an estimate. LightCompanies flags those cases rather than presenting a derived rate as gospel.

The Estimated Bill Problem

Estimated bills deserve their own section because they are the single most common source of a billing complaint that looks like a price complaint.

The mechanic is simple. The TDU (Oncor, CenterPoint, AEP, or TNMP, depending on your address) reads the meter and sends usage to your provider. When that read does not arrive, your provider may estimate based on prior usage. If the estimate runs low for two cycles, the third cycle trues up. You see a bill that is 50 to 80 percent above normal and assume your rate spiked. It did not. You are paying for energy you used in earlier months that was under-billed.

Three things separate a reliable provider from an unreliable one here.

A reliable provider labels estimated bills clearly on the statement, so you know a true-up is coming. A reliable provider does not estimate for more than one or two consecutive cycles before escalating the meter issue to the TDU. And a reliable provider lets you spread a large true-up over multiple bills without a fight.

When LightCompanies sees a cluster of estimated-bill complaints against a provider, it is almost always one of these three failing: silent estimates, repeated estimates, or rigid true-up collection. Smart meters have reduced estimated reads across the ERCOT market, but they have not eliminated them, and some providers still estimate more than the meter situation requires.

How the Major REPs Compare

Measured at the same usage tier (roughly 1,000 kWh per month residential, the standard PUCT benchmark), the large incumbents cluster in a tighter, lower complaint band than most consumers expect.

Reliant and TXU, the two largest retail brands, tend to post billing complaint rates in the low double digits per 100,000 customers in recent quarters. That is not because they are gentle. It is because scale forces billing automation, and automation reduces manual errors even as it can make dispute resolution feel impersonal. LightCompanies rates both above the market median on billing accuracy, while noting that customer service responsiveness (a separate dimension) is where the volume players take their hits.

The higher complaint rates concentrate among a subset of smaller and mid-size providers, where two patterns show up. The first is aggressive teaser-rate plans with bill credits that fail to apply at the margin, producing rate-application complaints. The second is thinner billing operations that estimate more often and true up harder, producing estimated-bill complaints.

LightCompanies does not publish a single billing-reliability winner, because the honest answer depends on your usage profile. A steady 1,200 kWh household and a swingy 600-to-1,800 kWh household are exposed to different failure modes. The bill-credit cliff hurts the swingy household. The estimate-and-true-up cycle hurts neither more than the other, but it stings worse for the household on a tight monthly budget.

The comparison set to cross-check: pull Reliant, TXU, and any provider you are considering at the 1,000 kWh tier on the PUCT complaint report, and run the per-100,000 math above on all three. If your candidate sits more than double the rate of the two incumbents, that is a signal worth taking seriously.

When a Low Complaint Count Lies

A clean complaint record is not always a clean billing operation. Two situations inflate a provider’s apparent reliability.

The first is youth. A provider that entered the Texas market eighteen months ago has not been billing long enough to accumulate complaints, and has not hit its first full summer-to-winter true-up cycle at scale. Years in market is a separate LightCompanies data point precisely because it conditions how much weight a low complaint rate deserves. A 4 per 100,000 rate from a fifteen-year operator means more than a 4 per 100,000 rate from a brand that launched last year.

The second is complaint suppression by friction. Some providers resolve disputes at the first call specifically to keep them from escalating to a formal PUCT complaint. That is good behavior and a genuinely low rate. Others make the first call so painful that customers give up rather than file. The complaint data cannot distinguish the two. BBB narratives sometimes can, which is why LightCompanies reads the complaint text, not just the count.

What to Check Before You Sign

Billing reliability is knowable in advance if you do three things.

Pull the provider’s most recent PUCT billing complaint figure and run the per-100,000 calculation against the two incumbents at your usage tier. Read the actual EFL for the plan you are considering, and find the exact kWh thresholds where any bill credit applies or drops off. If your usage normally lands within 50 kWh of that threshold, treat the advertised rate as unreliable for your household. And search recent complaint narratives for the words estimated and true-up against that specific provider.

A cheap rate from a provider that bills wrong is not cheap. It is a higher rate with a delay. The data to tell the difference is public, it is quarterly, and the math fits on the back of one bill.

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