Figs (FIGS) Property, Plant & Equipment (Net) (2020 - 2026)
Figs (FIGS) recorded Property, Plant & Equipment (Net) of $33.4 million in Q2 2026, up 0.9% from $33.11 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Figs (FIGS) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs reported Property, Plant & Equipment (Net) of $33.94 million, down 3.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $35.27 million in FY2024 (+41.9%), $24.86 million in FY2023 (+125.5%), $11.02 million in FY2022 (+44.8%) and $7.61 million in FY2021 (+16.6%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $7.36 million in Q3 2021 to $35.4 million in Q3 2024 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last eight quarters, with growth averaging 20.4%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 209.4% in Q2 2024, against a decline of 6.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $33.14 million (Q1 2026), $33.94 million (Q4 2025) and $33.57 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 | Figs | 3.18 Bn | 2.06 Bn | 147.86 Mn | 33.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.40 Mn |
| Mar 31, 2026 | 33.14 Mn |
| Dec 31, 2025 | 33.94 Mn |
| Sep 30, 2025 | 33.57 Mn |
| Jun 30, 2025 | 33.11 Mn |
| Mar 31, 2025 | 34.12 Mn |
| Dec 31, 2024 | 35.27 Mn |
| Sep 30, 2024 | 35.40 Mn |
| Jun 30, 2024 | 35.27 Mn |
| Mar 31, 2024 | 28.05 Mn |
| Dec 31, 2023 | 24.86 Mn |
| Sep 30, 2023 | 16.31 Mn |
| Jun 30, 2023 | 11.40 Mn |
| Mar 31, 2023 | 11.24 Mn |
| Dec 31, 2022 | 11.02 Mn |
| Sep 30, 2022 | 10.82 Mn |
| Jun 30, 2022 | 8.81 Mn |
| Mar 31, 2022 | 7.72 Mn |
| Dec 31, 2021 | 7.61 Mn |
| Sep 30, 2021 | 7.36 Mn |
API Access
Figs 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=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FIGS", "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=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();