Chapter 19 — Exercises: Appraising and Pricing Used Inventory

Work these after reading the chapter. They build from recall to real-world judgment. Difficulty legend: ⭐ basic recall · ⭐⭐ applied analysis · ⭐⭐⭐ synthesis/judgment · ⭐⭐⭐⭐ advanced/extension. For calculation items, a numeric answer is hidden in a <details> block — try it first, then check. Most conceptual answers live in your own reasoning (and selected answers in Appendix I).

Part A — Conceptual Understanding ⭐

Short answers. One or two sentences each.

A1. In your own words, what is the difference between cost-based pricing and market-based pricing? Which one does a modern used department use, and why?

A2. Define price-to-market percentage and give the formula. What does it mean if a car is at "108% to market"?

A3. Why do shoppers' online behavior (specifically, that they sort by price) make your price "your front door"?

A4. Define turn (inventory turn) and days' supply. Give the formula for each.

A5. Name the four real costs that make up the daily holding cost of a used car sitting on the lot. Which one is the "hidden killer," and why is it the one slow operators ignore?

A6. What is the golden window for a fresh used car, and roughly how long does it last?

A7. State the 60-day rule in one sentence, and say what should happen to a car that's still on the lot at day 60.

A8. What is a run list, and when should a disciplined buyer study it?

A9. Explain the auction light system: what do 🟢 green, 🟡 yellow, and 🔴 red mean?

A10. Why is the wholesale-to-retail spread not the same thing as your gross profit? What has to come out of it first?

A11. What is arbitration at a wholesale auction, and name the three kinds of rules (besides the type of defect) that determine whether a claim will succeed.

A12. Why does the chapter call a used car a "melting ice cube"? What does the metaphor capture that a simple "it costs money to hold inventory" statement misses?

A13. Explain why checking days' supply by segment can matter more than the overall number. Give a quick example where the overall number looks fine but a segment number screams for action.

Part B — Applied Analysis ⭐⭐

Apply the chapter's tools to specific scenarios. Show your work on calculations.

B1. Price-to-market. A used sedan is priced at $19,400.** The pricing tool reports the average market price for comparable sedans is **$20,000. Calculate the price-to-market percentage. Is this car likely in the visible cluster for shoppers who sort by price? Would you change the price?

Numeric answer ($19,400 ÷ $20,000) × 100 = **97.0% to market.** Yes — 97% sits squarely in the typical visible band (~95–99%), so shoppers sorting by price will see it. No urgent change needed; it's priced competitively. (If you wanted it gone *faster,* you could nudge toward 96%, but 97% is already a strong, sell-able position.)

B2. Days' supply. A used lot has 150 cars on the ground today. Over the last 30 days they sold 60 cars. Calculate days' supply. Given a 45–60 day target, is this lot carrying too much, too little, or about right? What's your recommendation?

Numeric answer (150 ÷ 60) × 30 = 2.5 × 30 = **75 days' supply.** That's *above* the 45–60 sweet spot — too much inventory for the current sales pace. Recommendation: **slow the buying** (especially in whatever segments are overstocked — check by segment), and put aging units on an aggressive price/wholesale plan before they cross the 60-day wall. Carrying 75 days means a chunk of these cars *will* age out and cost money on the back end.

B3. Turn. A used department sells 900 cars a year and carries an average of 120 cars in inventory. Calculate annual turn. Compare it to a competitor who sells 480 cars/year on the same 120-car average inventory. Who's more profitable per dollar of inventory invested, and roughly by how much (assume the same gross per car)?

Numeric answer Your turn = 900 ÷ 120 = **7.5 turns/year.** Competitor's turn = 480 ÷ 120 = **4.0 turns/year.** On the same inventory dollars and the same gross per car, you sell **900** cars to their **480** — roughly **1.9× the annual gross** (7.5 ÷ 4.0 = 1.875). Nearly double the income on the identical money tied up — purely from velocity.

B4. Holding cost. A $25,000 used truck has these daily costs: floor-plan interest at 8%/year, depreciation at ~2.5%/month, and ~$4/day in overhead/recon-capital/lot. Estimate the total daily holding cost, then the cumulative cost at day 30 and day 60.

Numeric answer Floor plan: $25,000 × 8% ÷ 365 ≈ **$5.48/day.** Depreciation: $25,000 × 2.5% ÷ 30 ≈ **$20.83/day.** Overhead: **$4.00/day.** Total ≈ **$30.31/day** (round to ~$30). Day 30 ≈ **$910;** day 60 ≈ **$1,820.** Note the depreciation line ($20.83) dwarfs the floor-plan line ($5.48) — the hidden killer is the biggest one.

B5. Max bid at auction. You're at auction. Comparable reconditioned versions of a car retail for $23,000** in your market. You estimate **$1,500 in reconditioning, $500** in auction fee + transport, and you want a **$2,000 target gross. What's your maximum bid? If the bidding reaches $19,500, do you bid?

Numeric answer Max bid = retail-the-market − recon − fees − target gross = $23,000 − $1,500 − $500 − $2,000 = **$19,000.** At $19,500, the bidding is **$500 past your max** — you do **not** bid. (That $500 would come straight out of your $2,000 gross, because the market, not your cost, caps the retail price. Let it go; there's always another car.)

B6. Real gross. You sell a used car for $21,000.** You paid **$15,800 at auction, plus $550** fees/transport, put **$1,300 into reconditioning, and it sold at day 45 (holding ≈ $25/day). Calculate the headline spread and the real gross. Why might a new salesperson misjudge this deal?

Numeric answer Headline spread = $21,000 − $15,800 = **$5,200.** Real gross = $21,000 − $15,800 − $550 − $1,300 − (45 × $25 = $1,125) = **$2,225.** A new salesperson sees the $5,200 spread and thinks "huge gross," but after fees, recon, and holding, the real gross is **$2,225** — still solid, but only ~43% of the headline number. The lesson: spread ≠ gross.

B7. The aging trade-off. A car has $2,400 of intended gross and ~$28/day holding cost. It's been on the lot 40 days. A customer offers $1,100 below asking. The manager wants to refuse and "hold for our gross." Quantify what's wrong with that reasoning.

Numeric answer 40 days × $28 = **$1,120 already spent** holding it — so of the $2,400 intended gross, only ~$1,280 of "live" gross remains, shrinking $28/day. Refusing the $1,100-below offer to "protect gross" ignores that holding costs another $28/day *and* the car keeps aging. In ~30 more days you'd burn another $840 and likely face a *worse* offer on an older car. Taking (or lightly countering) the offer now is almost certainly the better financial move.

B8. The full buy-to-sell, two timelines. You buy a car at auction for $16,200** (+ $550 fees/transport), put $1,300** into recon, and the market supports a **$21,000 retail price. Holding cost is ~$25/day. Compute the **real gross** if it sells (a) at **day 12** for $20,700, versus (b) at day 75** for $19,800. What single factor explains most of the difference?

Numeric answer **(a) Day 12:** $20,700 − $16,200 − $550 − $1,300 − (12 × $25 = $300) = **$2,350 real gross.** **(b) Day 75:** $19,800 − $16,200 − $550 − $1,300 − (75 × $25 = $1,875) = **−$125 (a small loss).** The swing is roughly **$2,475** on the *same car,* and the dominant factor is **time:** the day-75 sale lost ~$1,575 more to holding cost *and* sold for $900 less (older car, drifted market). Same buy, same recon — the day-one pricing/velocity decision made the whole difference.

B9. Reading the lights. You're at auction with three cars on your list. Car 1 is 🟢 green, CR grade 4.1, clean. Car 2 is 🟡 yellow with an announced odometer discrepancy. Car 3 is 🔴 red, no CR notes you trust. You're a relatively new buyer who can't absorb a big surprise repair. Which car(s) fit your risk tolerance, and how should the announced issue on Car 2 affect your max bid?

One way to reason it **Car 1 (green, 4.1, clean)** is your bread-and-butter buy — sound, arbitrable, low risk. **Buy it (at your disciplined max).** **Car 3 (red, as-is, untrusted CR)** is for experienced buyers who can absorb a loss — as a new buyer, **pass.** **Car 2 (yellow, announced odometer issue)** *can* be a fine buy, but only *knowing:* an odometer discrepancy is a serious value-and-disclosure problem (it affects what you can honestly retail it for and to whom), so it should **lower your max bid significantly** to reflect both the reduced retail value and the narrower buyer pool — and you must plan to **disclose it** to the next buyer. If you can't price it low enough to make that math work, pass. Net: definitely Car 1; Car 2 only at a steeply discounted, math-backed number; not Car 3.

Part C — Skills & Practice ⭐⭐–⭐⭐⭐

The "doing" exercises. Produce real artifacts you could use on the floor.

C1. Build your pricing one-pager (the Project Checkpoint). If you haven't yet, build the one-page "Used Pricing & Valuation Quick Reference" from the chapter's Project Checkpoint: value sources, the days'-supply check, the market-% rule, the holding-cost/aging reminder, and the auction quick-check. Write it in your own words and keep it to one page. Test: could a brand-new used salesperson use it to avoid overpaying, overpricing on day one, and nursing an aging unit?

C2. Write your "teach the gap" word track for an aging unit. A customer is interested in a clean SUV that's been on your lot 65 days (priced now into the visible band because it aged). Write the honest, confident word track you'd use to (a) present its value and (b) handle "why has this one been here so long?" without sounding defensive. (Hint: a long-aged, well-priced car is an opportunity for the buyer — say so.)

C3. Role-play the auction discipline. Pair up (or do both voices). One person is the auctioneer pushing the bid; the other has a written max bid of $16,500** on a car. Run the bidding past $16,500. The buyer's job: walk away cleanly without justifying or apologizing. Then debrief: how did it feel to let the car go? Where would the temptation to nod have come from?

C4. Diagnose an overpriced lot. You're handed this used inventory snapshot (segment-level days' supply):

Segment Days' supply Avg % to market
Compact SUVs 18 99%
Midsize sedans 95 107%
Full-size trucks 52 96%
Large SUVs 110 103%

Write a one-paragraph action plan. Which segments do you buy more of, which do you stop buying, and which units need a price move? Justify each call using days' supply and % to market together.

C5. Calculate a complete buy-to-sell. Pick any real used car listed online in your area. (a) Find its approximate trade-in/wholesale value (KBB trade-in line) and its retail asking prices (live listings) — note the gap. (b) Estimate reconditioning. (c) Assume a $2,000 target gross and ~$500 fees, and compute the max auction bid you'd set. (d) Then compute the price-to-market % of three actual listings for that car. Write up what the numbers tell you about which listing is the best buy for a shopper.

C6. Build a "when to wholesale it out" trigger. Write a short, concrete rule for your store: at what days-on-lot, and/or what % to market, and/or what number of price drops with no sale, should a car be wholesaled out (sold back at auction or via a dealer trade) instead of nursed? Defend your thresholds with the holding-cost math.

Part D — Synthesis & Critical Thinking ⭐⭐⭐

Judgment, ethics, and trade-offs. There's rarely one right answer — show your reasoning.

D1. Your sales manager says: "Price-to-market is great, but if everyone prices the same way, we all race to the bottom and nobody makes any gross." Is this true? Argue both sides, then give your own view. (Consider: turn, segment scarcity, reconditioning quality, and what actually differentiates one clean car from another online.)

D2. A used manager refuses to mark down a 70-day-old car because "if I sell it at a loss, my gross average drops and it looks bad on the report." Diagnose the thinking. What's the difference between protecting a number on a report and protecting the store's actual money? (Connect to the holding-cost math in §19.4.)

D3. Over-allowance (Ch 11) and over-paying at auction both put "too much in" a car. Compare them: why is over-allowance sometimes a legitimate, transparent tool, while over-paying at auction is almost always just a mistake? What's the key difference between the two situations?

D4. Ethics + market behavior: The light system and arbitration exist to enforce honest disclosure between dealers. Make the argument that honest disclosure isn't charity — it's what makes the wholesale market function at all. Then extend it: how is the same principle true on the retail side (selling the car to the next customer)? (Connect to Theme #3 and to Ch 11's "honest in, honest out.")

D5. A car you bought green-light turns out to have an undisclosed problem, but you discover it after the arbitration window has closed. You can (a) eat the loss and wholesale it out honestly, or (b) retail it without mentioning the defect, hoping the customer never notices. Walk through the decision using the gut-check from Ch 3/Ch 30 ("would I be comfortable if this customer could hear my thoughts?"). What does the ethical and the profitable path have in common here?

D6. The chapter argues that "you make your money on the buy." But a buyer-protective reading might say: doesn't disciplined buying just let the dealer keep more margin at the customer's expense? Reconcile these. How does a dealer buying and pricing well actually serve the retail customer (think: selection, competitive prices, the dealer staying in business to honor warranties)? Where's the line between healthy margin and gouging?

D7. Some dealers set an automatic price-reduction schedule (e.g., a fixed drop every X days a car goes unsold) enforced by software, removing human discretion. Argue the pros and cons of taking the manager's "feel" out of pricing. When might automated rules beat judgment, and when might judgment beat the rules? (Consider the falling-market chase from Case Study 19-2.)

Part M — Mixed / Interleaved Practice ⭐⭐–⭐⭐⭐

These deliberately combine this chapter with earlier chapters' skills, so you practice retrieving across topics.

M1. (Ch 19 + Ch 11.) A customer wants to trade a car you'd love to retail. Walk the full path: (a) appraise the trade (Ch 11 walk-around + ACV), (b) explain the retail-vs-wholesale gap to the customer (Ch 11), then (c) once you own it, price it to market and set its days-on-lot expectation (Ch 19). Show how the ACV you give as a trade and the wholesale cost you'd pay at auction are the same number from two sides.

M2. (Ch 19 + Ch 1.) Using the four-profit-center framework from Ch 1, explain where used-car gross and its downstream F&I and future-service revenue fit. Then argue, with turn math from §19.3, why a fast-turning, market-priced used department supports the whole store better than a slow one chasing big grosses.

M3. (Ch 19 + Ch 3.) A "price buyer" (one of the five customer types from Ch 3) is shopping your used lot and has clearly sorted by price online. How does understanding both the customer type (Ch 3) and price-to-market (Ch 19) change how you greet and present? What does this buyer most need to hear?

M4. (Ch 19 + Ch 12.) A car has aged to day 62 and you've priced it aggressively into the visible band. A customer still wants to negotiate $800 off. Using negotiation principles from Ch 12 and the holding-cost math from §19.4, decide how much room you actually have and how you'd handle it. (Remember: the gross you're "protecting" is melting.)

M5. (Ch 19 + Ch 2.) Theme #2 says product knowledge is your credibility. How does knowing the car cold make you better at the buy (estimating reconditioning at auction) and at the sell (justifying its price to a shopper who sorted by price)? Give a concrete example for each.

M6. (Ch 19 + Ch 18.) Ch 18 set up the used-vehicle business and sourcing/recon; Ch 19 priced it. Connect them: trace one car from acquisition (where it came from — trade, auction, off-lease) through reconditioning through pricing to market through the 60-day clock. Where in that chain is the gross actually won or lost?

Part E — Research & Extension ⭐⭐⭐⭐

Optional, for the motivated reader. These go beyond the chapter.

E1. Spend 30 minutes acting as a used-car manager with real data. Pick one popular three-year-old model. On a major shopping site, pull all listings within 100 miles, sort by price, and record: how many listings, the price range, and where the "fold" seems to fall (which price gets the listing onto the first screen). Then compute the price-to-market % of the cheapest, the median, and the most expensive. Write up: if you owned a clean one of these, exactly what would you price it at, and why?

E2. Research how depreciation rates differ by segment (e.g., trucks vs. luxury sedans vs. EVs) using reputable sources (industry analyses, KBB/Cox Automotive data, J.D. Power). How would different depreciation rates change the holding-cost math and therefore your days-on-lot urgency for different segments? (Hint: a fast-depreciating segment needs a tighter aging discipline.)

E3. Read about how online-first auction platforms (e.g., ACV Auctions) changed wholesale buying versus traditional physical lanes (Manheim/ADESA). What are the trade-offs of buying a car you can only inspect via a condition report and photos versus seeing it run in a physical lane? How does this raise the stakes on condition reports and arbitration? Write a short comparison.