Property, Plant and Equipment Disclosure
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
A comprehensive analysis of the property, plant and equipment (PP&E) account reveals a significant structural adjustment occurring between 2014 and 2015, followed by a period of gradual recovery and growth in net asset value.
- Asset Composition and Volatility
- The most significant fluctuation is observed in machinery and equipment, which peaked at $6,571 million in June 2014 before dropping sharply to $2,620 million in June 2015. This contraction drove the overall gross PP&E from a high of $8,231 million in 2014 to $4,188 million in 2015. From 2015 through 2018, machinery and equipment demonstrated a consistent upward trend, recovering to $2,958 million.
- Real Estate and Infrastructure Trends
- In contrast to the volatility of equipment, buildings and leaseholds exhibited steady growth over the six-year period, increasing from $1,307 million in 2013 to $1,553 million in 2018. Land holdings remained relatively stable, maintaining a value around $140 million to $148 million. Construction in progress showed intermittent fluctuations, ending the period at its highest point of $228 million in 2018, suggesting increased capital investment in new projects toward the end of the analyzed timeframe.
- Depreciation and Net Book Value
- Accumulated depreciation and amortization closely mirrored the trend of gross assets, peaking at -$5,300 million in 2014 and decreasing to -$2,466 million in 2015, which indicates that the assets removed or reclassified during that period carried significant accumulated depreciation. The net PP&E followed a similar trajectory, falling from $2,931 million in 2014 to $1,722 million in 2015, before steadily climbing to $1,956 million by June 2018.
- Long-term Asset Trajectory
- Post-2015, the asset base shifted toward a more stable growth pattern. The steady rise in buildings, leaseholds, and construction in progress, combined with the modest recovery of machinery and equipment, indicates a strategic refocusing of capital expenditures and a gradual expansion of the physical infrastructure base.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Asset Age Ratios (Summary)
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
The analysis of property, plant, and equipment age ratios reveals a consistent asset lifecycle pattern with a notable shift in accounting estimates or asset composition occurring between 2015 and 2016. The average age ratio exhibits low volatility, fluctuating within a narrow range between a minimum of 60.95% in 2015 and a maximum of 65.52% in 2014, suggesting a stable rate of asset utilization relative to total useful lives.
- Average Age Ratio Trends
- The ratio experienced a peak in 2014 followed by a decline to its period low in 2015. From 2016 through 2018, the ratio stabilized near 62%, indicating that the proportion of the assets' useful lives already consumed remained relatively constant over the latter half of the period.
- Estimated Total Useful Life
- A significant upward revision in the estimated total useful life is observed in 2016, where the value increased from 9 years to 15 years. This adjustment suggests either a change in depreciation policy, a revision of the expected longevity of existing assets, or the acquisition of new assets with substantially longer service lives.
- Asset Age and Remaining Life
- The estimated age of assets remained at 7 years in 2013 and 2014, dipped to 6 years in 2015, and then shifted to 9 years in 2016, remaining at that level through 2018. Correspondingly, the estimated remaining life increased from 4 years to 5 years starting in 2016, which aligns with the increase in the total estimated useful life.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Average Age
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
2018 Calculations
1 Average age = 100 × Accumulated depreciation and amortization ÷ (Property, plant and equipment, gross – Land)
= 100 × 2,931 ÷ (4,887 – 148) = 61.85%
An analysis of the asset base reveals a significant structural shift occurring between June 30, 2014, and June 30, 2015. During this period, gross property, plant and equipment decreased substantially from 8,231 million US$ to 4,188 million US$, while accumulated depreciation and amortization fell from 5,300 million US$ to 2,466 million US$. This suggests a major divestiture or reclassification of assets, specifically those with high accumulated depreciation.
- Average Age Ratio Fluctuations
- The average age ratio peaked at 65.52% in 2014 before dropping to its lowest point of 60.95% in 2015. This decrease coincides with the reduction in gross assets, indicating that the assets removed from the balance sheet were older than the remaining asset pool. From 2016 through 2018, the ratio remained relatively stable, exhibiting a slight downward trend from 62.62% to 61.85%.
- Asset Growth and Replacement Patterns
- Following the 2015 contraction, a consistent upward trend in gross property, plant and equipment is observed, increasing from 4,188 million US$ in 2015 to 4,887 million US$ by June 30, 2018. The fact that the average age ratio continued to decline slightly during this growth phase suggests that new capital expenditures were invested in modern assets, effectively lowering the relative age of the overall asset base.
- Stability of Non-Depreciable Assets
- Land holdings remained remarkably stable throughout the observed period, fluctuating minimally between 140 million US$ and 148 million US$. This stability indicates that the volatility in the average age ratio and total asset value was driven by depreciable equipment and plant assets rather than real estate acquisitions or disposals.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Estimated Total Useful Life
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
2018 Calculations
1 Estimated total useful life = (Property, plant and equipment, gross – Land) ÷ Depreciation and amortization related to Property, plant and equipment
= (4,887 – 148) ÷ 337 = 14
A significant shift in the asset base and accounting estimates is evident between 2013 and 2018. The most notable event occurred between June 30, 2014, and June 30, 2015, where gross property, plant, and equipment decreased by approximately 49%, falling from 8,231 million US$ to 4,188 million US$. Following this contraction, a period of moderate growth is observed, with the gross value rising steadily to 4,887 million US$ by June 30, 2018.
- Asset Composition and Stability
- While total property, plant, and equipment fluctuated significantly, land holdings remained remarkably stable, maintaining a value between 140 million US$ and 148 million US$ throughout the six-year period. This indicates that the volatility in the gross asset base was driven by depreciable assets rather than real estate acquisitions or divestitures.
- Estimated Total Useful Life Volatility
- The estimated total useful life of assets showed a distinct pivot in 2016. From 2013 to 2015, the estimated life trended downward, reaching a low of 9 years. However, in 2016, the estimate was revised upward to 15 years, remaining at that level through 2017 before slightly decreasing to 14 years in 2018. This extension of useful life suggests a change in accounting estimates or a shift in the nature of the assets being capitalized.
- Depreciation and Amortization Correlation
- Depreciation and amortization expenses closely mirrored the trends in gross asset values and useful life estimates. The highest expenditures occurred in 2013 and 2014, coinciding with the largest gross asset base. The subsequent decline in expenses from 741 million US$ in 2014 to 283 million US$ in 2016 was driven by two factors: the substantial reduction in the gross asset base in 2015 and the extension of the estimated useful life in 2016, which lowered the annual depreciation charge per asset.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Estimated Age, Time Elapsed since Purchase
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
2018 Calculations
1 Time elapsed since purchase = Accumulated depreciation and amortization ÷ Depreciation and amortization related to Property, plant and equipment
= 2,931 ÷ 337 = 9
The financial data indicates a significant structural shift in the asset base between 2014 and 2015, followed by a period of gradual asset aging and stabilization through 2018.
- Accumulated Depreciation and Amortization Trends
- A marked increase was observed between 2013 and 2014, with accumulated depreciation rising from 4,480 million US$ to 5,300 million US$. This was followed by a substantial decline in 2015 to 2,466 million US$, which suggests a significant disposal of assets, a write-down, or a major restructuring of the property, plant, and equipment portfolio. From 2016 to 2018, the values returned to a steady upward trend, concluding at 2,931 million US$.
- Annual Depreciation and Amortization Expenses
- Annual expenses peaked in 2014 at 741 million US$ before declining sharply to 433 million US$ in 2015. The lowest annual expenditure was recorded in 2016 at 283 million US$. A subsequent gradual increase is noted through 2018, where expenses rose to 337 million US$, reflecting a stabilization of the depreciation charge relative to the modified asset base.
- Analysis of Asset Age
- The time elapsed since purchase remained constant at 7 years through 2014, then decreased to 6 years in 2015. This reduction in estimated age coincides with the sharp drop in accumulated depreciation, indicating a rejuvenation of the asset base likely caused by the removal of older assets or the acquisition of newer equipment. However, from 2016 through 2018, the elapsed time increased and plateaued at 9 years, suggesting a period of limited capital investment in new property, plant, and equipment.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?
Estimated Remaining Life
Based on: 10-K (reporting date: 2018-06-30), 10-K (reporting date: 2017-06-30), 10-K (reporting date: 2016-06-30), 10-K (reporting date: 2015-06-30), 10-K (reporting date: 2014-06-30), 10-K (reporting date: 2013-06-30).
2018 Calculations
1 Estimated remaining life = (Property, plant and equipment, net – Land) ÷ Depreciation and amortization related to Property, plant and equipment
= (1,956 – 148) ÷ 337 = 5
The financial trajectory of property, plant and equipment (PP&E) exhibits a significant contraction between the 2014 and 2015 fiscal years, followed by a period of gradual recovery and stabilization. A notable correlation exists between the total net asset value and the associated depreciation and amortization expenses throughout the observed period.
- Net PP&E Valuation Trends
- Net property, plant and equipment grew slightly from US$ 2,829 million in 2013 to a peak of US$ 2,931 million in 2014. This was followed by a sharp decline to US$ 1,722 million in 2015, representing a reduction of approximately 41%. From 2015 to 2018, the asset base demonstrated a steady upward trend, concluding the period at US$ 1,956 million.
- Depreciation and Amortization Dynamics
- Depreciation and amortization expenses peaked in 2014 at US$ 741 million, aligning with the period of highest net PP&E. Following the asset reduction in 2015, these expenses dropped significantly to US$ 433 million and reached a low of US$ 283 million in 2016. A modest increase in depreciation is observed from 2016 to 2018, mirroring the gradual increase in net PP&E.
- Estimated Remaining Asset Life
- The estimated remaining useful life of the assets remained constant at four years from 2013 through 2015. Starting in 2016, this estimate was revised upward to five years and remained at that level through 2018. This extension of the estimated life may contribute to the stabilization of annual depreciation expenses despite the increase in net asset value after 2016.
- Land Asset Stability
- Land holdings remained remarkably stable relative to total PP&E, fluctuating minimally between US$ 140 million and US$ 148 million. This indicates that the volatility observed in the total net PP&E figure was driven by depreciable assets rather than real estate acquisitions or divestitures.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
Without a user account, I tend to respond rather slowly.
How can I help you?