Warby Parker (WRBY) Property, Plant & Equipment (Net) (2020 - 2026)
Warby Parker's Property, Plant & Equipment (Net) was $201.81 million in Q2 2026, up 13.9% from $177.16 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Warby Parker (WRBY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Warby Parker came in at $187.45 million, up 10.0% from FY2024.
- Property, Plant & Equipment (Net) has now increased for five consecutive years, with a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $170.46 million in FY2024 (+11.9%), $152.33 million in FY2023 (+9.9%), $138.63 million in FY2022 (+23.6%) and $112.2 million in FY2021 (+32.7%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 16 straight quarters, with growth averaging 10.7% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 8.9% (Q2 2025) and 32.7% (Q4 2021) over the last five years.
- Per Business Quant data, WRBY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $191.32 million (Q1 2026), $187.45 million (Q4 2025) and $182.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 1.05 Bn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 502.10 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 655.80 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 1.32 Bn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 674.54 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Warby Parker | 3.19 Bn | 2.05 Bn | 136.46 Mn | 201.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.81 Mn |
| Mar 31, 2026 | 191.32 Mn |
| Dec 31, 2025 | 187.45 Mn |
| Sep 30, 2025 | 182.58 Mn |
| Jun 30, 2025 | 177.16 Mn |
| Mar 31, 2025 | 173.80 Mn |
| Dec 31, 2024 | 170.46 Mn |
| Sep 30, 2024 | 166.50 Mn |
| Jun 30, 2024 | 162.74 Mn |
| Mar 31, 2024 | 156.72 Mn |
| Dec 31, 2023 | 152.33 Mn |
| Sep 30, 2023 | 151.11 Mn |
| Jun 30, 2023 | 143.61 Mn |
| Mar 31, 2023 | 140.48 Mn |
| Dec 31, 2022 | 138.63 Mn |
| Sep 30, 2022 | 134.33 Mn |
| Jun 30, 2022 | 128.47 Mn |
| Mar 31, 2022 | 121.25 Mn |
| Dec 31, 2021 | 112.20 Mn |
| Sep 30, 2021 | 105.33 Mn |
API Access
Warby Parker Property, Plant & Equipment (Net) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WRBY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();