Smartbird (BIRD) Property, Plant & Equipment (Net) (2020 - 2026)
Smartbird (BIRD) reported Property, Plant & Equipment (Net) of $8.95 million for Q1 2026, down 46.0% from $16.58 million a year earlier and down 14.8% from the prior quarter.
Smartbird (BIRD) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Smartbird posted Property, Plant & Equipment (Net) of $10.51 million, down 41.0% from FY2024.
- Property, Plant & Equipment (Net) has declined for three consecutive years, with a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $17.83 million in FY2024 (-31.7%), $26.09 million in FY2023 (-52.0%), $54.34 million in FY2022 (+43.2%) and $37.96 million in FY2021 (+62.9%).
- The Q1 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 11 quarters, with an average decline of 39.9% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 62.9%); the low point was Q3 2024 (a decline of 60.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $10.51 million (Q4 2025), $13.84 million (Q3 2025) and $15.39 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Smartbird | 39.80 Mn | -62.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.95 Mn |
| Dec 31, 2025 | 10.51 Mn |
| Sep 30, 2025 | 13.84 Mn |
| Jun 30, 2025 | 15.39 Mn |
| Mar 31, 2025 | 16.58 Mn |
| Dec 31, 2024 | 17.83 Mn |
| Sep 30, 2024 | 18.97 Mn |
| Jun 30, 2024 | 21.08 Mn |
| Mar 31, 2024 | 22.40 Mn |
| Dec 31, 2023 | 26.09 Mn |
| Sep 30, 2023 | 48.10 Mn |
| Jun 30, 2023 | 52.35 Mn |
| Mar 31, 2023 | 52.57 Mn |
| Dec 31, 2022 | 54.34 Mn |
| Sep 30, 2022 | 52.21 Mn |
| Jun 30, 2022 | 47.86 Mn |
| Mar 31, 2022 | 42.94 Mn |
| Dec 31, 2021 | 37.96 Mn |
| Sep 30, 2021 | 34.57 Mn |
| Dec 31, 2020 | 23.30 Mn |
Smartbird 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=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "BIRD", "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=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();