Asphalt Roofing Product Prices

Helps separate pricing and mix changes from true unit-volume changes and informs margin context.

Exclude COVID

380.3PPI

Trend YoY growth is +4.0%, slowing by 0.1 pp/year over the last 25Y. Deviations have remained below trend for 36 consecutive periods. Latest: +3.6%, 0.4 pp below trend, a 0.08σ deviation. The latest YoY reading is boosted by 1.7 pp due to an easy comparison base from Jul 1.

Level

YoY %

y = 6.9% 0.1 pp/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (PPI)

Projected value (PPI)

Forecast made inDec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27Aug '27MAPE
Dec '25362.6365.3362.3361.7358.9372.6374.5374.3375.2371.8373.2373.5370.5362.4368.4362.1363.5371.1384.8389.9384.8187%
Jan '26354.5359.2358.4355.4368.6370.1369.7370.3366.6367.7367.7364.4356.2361.7355.3356.4363.5376.6381.3371.0113%
Feb '26360.2358.9355.9369.3370.9370.6371.2367.6368.8368.8365.7357.5363.1356.7358.0365.1378.4383.2373.9142%
Mar '26353.9353.4366.3367.5366.8367.1363.1363.9363.6360.1351.6356.8350.2351.0357.7370.3374.6361.196%
Apr '26355.1365.1366.1365.1365.1360.9361.4360.7357.0348.4353.2346.4346.9353.3365.4369.3353.8103%
May '26362.3364.1362.8362.4357.9358.0357.1353.1344.2348.6341.6341.8347.7359.3362.8344.6137%
Jun '26375.5365.5365.4361.1361.5360.7356.9348.1352.9346.0346.4352.6364.6368.5353.1111%
Jul '26380.3370.2366.4367.4367.3363.9355.5360.9354.4355.4362.3375.2379.8369.4
Aug '26370.2366.4367.4367.3363.9355.5360.9354.4355.4362.3375.2379.8369.4

YoY change forecast

Forecast made inDec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27Aug '27MAPE
Dec '25+0.7%+1.7%+1.7%+1.8%+1.8%+1.9%+1.9%+2.0%+2.0%+2.1%+2.1%+2.1%+2.2%+2.2%+2.3%+2.3%+2.4%+2.4%+2.5%+2.5%+2.5%187%
Jan '26-1.3%+0.9%+0.9%+0.8%+0.8%+0.7%+0.7%+0.7%+0.6%+0.6%+0.6%+0.5%+0.5%+0.4%+0.4%+0.4%+0.3%+0.3%+0.2%+0.2%113%
Feb '26+1.2%+1.0%+1.0%+1.0%+1.0%+0.9%+0.9%+0.9%+0.9%+0.9%+0.9%+0.8%+0.8%+0.8%+0.8%+0.8%+0.8%+0.7%+0.7%142%
Mar '26-0.4%+0.3%+0.2%+0.0%-0.1%-0.2%-0.3%-0.4%-0.6%-0.7%-0.8%-0.9%-1.0%-1.2%-1.3%-1.4%-1.5%-1.6%96%
Apr '26+0.8%-0.2%-0.4%-0.5%-0.7%-0.9%-1.1%-1.3%-1.5%-1.7%-1.9%-2.1%-2.3%-2.5%-2.7%-2.9%-3.1%103%
May '26-0.9%-0.9%-1.2%-1.5%-1.8%-2.1%-2.3%-2.6%-2.9%-3.2%-3.5%-3.8%-4.0%-4.3%-4.6%-4.9%137%
Jun '26+2.2%-0.4%-0.7%-0.9%-1.1%-1.3%-1.6%-1.8%-2.0%-2.2%-2.5%-2.7%-2.9%-3.1%-3.3%111%
Jul '26+3.6%+0.7%+0.6%+0.5%+0.4%+0.4%+0.3%+0.2%+0.1%+0.1%+0.0%-0.1%-0.1%-0.2%
Aug '26+0.7%+0.6%+0.5%+0.4%+0.4%+0.3%+0.2%+0.1%+0.1%+0.0%-0.1%-0.1%-0.2%

Forecasts use ordinary least-squares linear regression fitted to the YoY change series over a rolling 1Y window. Each row shows a vintage — the forecast as it would have appeared at that point in time. Projected values apply the forecasted YoY change to the prior year's level, chaining forward where actuals are unavailable. MAPE measures forecast accuracy against realized values. These are mechanical trend extrapolations, not economic models.