The sticker said one number. Then the machine started running, and the real number started growing.
Fuel. Parts. The mechanic's hours. Insurance, financing, and the quiet one, depreciation, the biggest driver in most fleets. Torgix catches every one of them and lands it on the machine that spent it.
Until the whole story compresses into one honest figure: what this machine costs, per hour, to run.
Then Torgix looks forward, projecting the spend curve so you see the expensive year coming while there is still time to plan for it.
The price was one number. The cost is a story. Torgix reads it to you before the ending costs you. Torgix.
Total cost of ownership is a phrase almost everybody uses and almost nobody computes completely, because the components sit in different systems owned by different people. Maintenance owns parts and labor. Operations owns fuel and utilization. Finance owns insurance, financing and depreciation. Each function can produce an accurate report and the three reports still never get added together against one asset.
Depreciation is the one that goes missing most often, and it is frequently the largest single line. It does not generate an invoice, so it never crosses the maintenance system's path. A machine can look inexpensive to run for years while quietly losing more value per year than it consumes in parts and fuel combined.
The consequence is not academic. Every decision that depends on cost per asset gets made on partial data: what to charge on a job, what to rent versus own, what to replace, and which machines are actually earning their keep. If the number is missing a third of itself, the decisions built on it inherit the error.
What the video shows is those lines landing on the machine that spent them rather than on a department budget. Once the number is complete, comparisons between machines start meaning something, and the cost per hour figure you quote on a job has arithmetic behind it.
The figures shown on screen are illustrative demo data.