Bark (BARK) Property, Plant & Equipment (Net) (2021 - 2026)
Bark (BARK) recorded Property, Plant & Equipment (Net) of $15.6 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 29.1% from $22.02 million a year earlier and down 9.2% from the prior quarter.
Bark (BARK) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Bark reported Property, Plant & Equipment (Net) of $17.18 million, down 20.0% from FY2025.
- Annual Property, Plant & Equipment (Net) has declined for three straight fiscal years, though with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $21.48 million in FY2025 (-15.9%), $25.54 million in FY2024 (-35.9%), $39.85 million in FY2023 (+41.7%) and $28.13 million in FY2022 (+108.9%).
- The fiscal Q1 2027 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 12 consecutive quarters, with an average decline of 16.9% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 108.9% in fiscal Q4 2022, against a decline of 38.6% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $17.18 million (Q4 2026), $18.87 million (Q3 2026) and $20.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Bark | 80.59 Mn | -39.89 Mn | 57.33 Mn | 15.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.60 Mn |
| Mar 31, 2026 | 17.18 Mn |
| Dec 31, 2025 | 18.87 Mn |
| Sep 30, 2025 | 20.62 Mn |
| Jun 30, 2025 | 22.02 Mn |
| Mar 31, 2025 | 21.48 Mn |
| Dec 31, 2024 | 22.07 Mn |
| Sep 30, 2024 | 23.43 Mn |
| Jun 30, 2024 | 23.54 Mn |
| Mar 31, 2024 | 25.54 Mn |
| Dec 31, 2023 | 27.21 Mn |
| Sep 30, 2023 | 28.72 Mn |
| Jun 30, 2023 | 38.37 Mn |
| Mar 31, 2023 | 39.85 Mn |
| Dec 31, 2022 | 40.08 Mn |
| Sep 30, 2022 | 36.49 Mn |
| Jun 30, 2022 | 29.41 Mn |
| Mar 31, 2022 | 28.13 Mn |
| Dec 31, 2021 | 26.25 Mn |
| Sep 30, 2021 | 21.48 Mn |
Bark 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=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "BARK", "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=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();