Walnut company acquires a new machine for $35,000 and uses it in walnut's manufacturing operations. a few months after walnut places the machine in service, it discovers that the machine is not suitable for walnut's business. walnut had fully expensed the machine in the year of acquisition using § 179. walnut sells the machine for $5,000 in the tax year after it was acquired, but held the machine only for a total of 10 months. what was the tax status of the machine when it was disposed of and the amount of the gain or loss?

Classifying inflows and outflows of cash classify each of the following items as an inflow (i) or an outflow (o) of cash, or as neither (n). lg 2 lg 2 item change ($) item change ($) cash +100 accounts receivable −700 accounts payable −1,000 net profits +600 notes payable +500 depreciation +100 long-term debt −2,000 repurchase of stock +600 inventory +200 cash dividends +800 fixed assets +400 sale of stock +1,000

Auniversity spent $1.8 million to install solar panels atop a parking garage. these panels will have a capacity of 400 kilowatts (kw) and have a life expectancy of 20 years. suppose that the discount rate is 20%, that electricity can be purchased at $0.10 per kilowatt-hour (kwh), and that the marginal cost of electricity production using the solar panels is zero. hint: it may be easier to think of the present value of operating the solar panels for 1 hour per year first. approximately how many hours per year will the solar panels need to operate to enable this project to break even? a. a.3,696.48 b.14,785.92 c.9,241.20 if the solar panels can operate only for 8,317 hours a year at maximum, the project (would/would not)break even?

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .