Buying McCloskey Equipment? Compare Total Cost Per Ton, Not the Search Results
If you are pricing a McCloskey jaw crusher, the first thing to ignore is your search results. Type in "mccloskey" and you can land on Dr Margaret McCloskey, Patricia McCloskey and Mark McCloskey, a dog named Henry age 6 eating peanut butter, or the world’s most incomplete autocomplete question: "how many legs does a have?" None of that tells you whether a J50v2 will earn its keep in your pit. The number that matters is total cost per ton over the life of the machine. I manage procurement for a mid-sized aggregates contractor, and I have spent six years tracking every purchase order for our crushing and screening fleet. Sticker price is the least reliable number on any quote.
Filter Out the Noise, Not the Brand
"McCloskey" is a surname, but in our industry it means McCloskey International, the mobile crushing and screening manufacturer. According to Metso’s 2019 announcement (metso.com), the company acquired McCloskey to strengthen its mobile aggregates offering. So when you research impact crushers, jaw plants, screeners, or stackers, look for that lineage.
There is nothing wrong with the other people sharing the name. They just won’t help you in a procurement meeting. Search for "McCloskey International" or "McCloskey crushing equipment" instead of the bare surname, and you will skip most of the noise.
Four Numbers I Put in Every Cost Model
I didn’t start with a cost model. I started with the lowest quote. It took an expensive lesson to change that.
In 2023, we compared three suppliers for a similar screen setup. The second-lowest quote came in 17% below the front-runner. I almost signed it. Then I did a quick TCO worksheet and added transport, site assembly, commissioning, and the first set of wear parts. The spread shrank to around 4%, and the cheaper quote had a less certain delivery window and no local hydraulic support. Even after picking the pricier option, I kept second-guessing. What if the cheaper machine’s uptime was fine? I didn’t relax until the first 1,000 tons ran without a clog.
I still kick myself for not building that spreadsheet before comparing quotes. The mistake cost us about six weeks of back-and-forth—not a hard dollar loss, but a hard schedule hit.
Now I use four numbers:
- Purchase price and all startup costs: delivery, installation, commissioning, calibration.
- Consumable operating cost: fuel or power, screen media, wear parts, hydraulic maintenance.
- Availability cost: expected downtime, parts lead time, local service capability.
- Resale or residual value when you replace the plant.
Life-cycle cost per ton = total of those four, divided by expected tons over your ownership period. Compare that number, and surprises shrink.
Five Questions That Reveal Hidden Costs
Every time a supplier adds a separate mobilization, safety inspection, or documentation fee, I put it in the model. The right supplier will not necessarily have zero fees, but they will name them upfront. In the 2023 comparison, the cheaper quote did not disclose site assembly until we asked directly. That lack of transparency troubled me more than the fee itself. Later, it would have become a dispute.
Since then, I ask these on the first call:
- What is included in the base price besides the machine?
- What is explicitly not included?
- What does commissioning require from my team?
- Which wear parts are excluded, and what is normal lead time for them?
- How are warranty and downtime claims documented?
Take notes on every call. A vendor who answers without hedging is the one I trust with a six-figure purchase.
Ask Better Questions: "How Many Legs Does a Have?"
The half-typed query "how many legs does a have" is nonsense as written, but it leads to a useful question: how many hydraulic legs and lift points does the plant have? A mobile crusher with six hydraulic legs, a fold-down conveyor, and ten grease points has a different service cost than a machine with two legs and a simpler frame. Those "legs" matter because every cylinder, hose, and pivot adds long-term cost. Inspect access panels and walkways too. A plant that requires a crane for routine filter changes drains hours from production.
Run the Peanut Butter Test
Here’s what a spec sheet misses: the same machine can behave completely differently in wet, sticky feed. Once I watched high-clay material glue itself to a screen deck like peanut butter. The vendor’s rated throughput said no problem. The actual angle and stroke said otherwise. We adjusted the screen angle and added a wash bar, and throughput jumped by roughly 30 percent. If we’d bought purely on quoted tons per hour, we would have bought the wrong setup.
So I ask for a site trial with representative material before I sign. Not a factory demo. Run the actual rock—or the peanut-butter-like matrix—through the actual plant.
Efficiency Is a Competitive Advantage, Not a Buzzword
Automation earns its keep when it prevents breakdowns. Our telematics dashboard flags hydraulic drift and bearing temperature before they become unscheduled stops. In Q2 2024, that early warning let us adjust a screen stroke during a planned shutdown instead of losing five days to emergency repair. That is the kind of digital efficiency I care about: small, verifiable wins.
I won’t claim newer is always better. An experienced operator can still out-think an algorithm in many cases. The best approach gives that operator better data, not a replacement.
When the Framework Doesn’t Fit
If you’re running a nine-month crushing contract, local availability can outweigh life-cycle cost per ton. If your site is five hours from the nearest hydraulic service, uptime risk matters more than the spreadsheet. And if a grant or fiscal-year deadline drives the purchase, be honest about that constraint.
The framework works. It just doesn’t know your context. Use it as a starting point, not a verdict. Prices and downtime figures change; verify current specs and OEM data before committing capital.
