Bark (BARK) Depreciation & Amortization (CF) (2020 - 2026)
Bark's Depreciation & Amortization (CF) was $1.81 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 28.0% from $2.52 million a year earlier and down 4.7% from the prior quarter.
Bark (BARK) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bark's Depreciation & Amortization (CF) was $8.4 million through Jun 30, 2026, down 22.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $9.1 million, down 18.9% from FY2025.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 30.5% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation & Amortization (CF) was $11.22 million in FY2025 (-11.0%), $12.6 million in FY2024 (+33.7%), $9.43 million in FY2023 (+114.1%) and $4.4 million in FY2022 (+83.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation & Amortization (CF) since fiscal Q4 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for eight straight quarters, with an average decline of 18.1% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q2 2023 (growth of 124.2%); the worst was fiscal Q4 2026 (a decline of 32.9%).
- Per Business Quant data, BARK's Depreciation & Amortization (CF) in the three fiscal quarters before Q1 2027 was $1.9 million (Q4 2026), $2.09 million (Q3 2026) and $2.58 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 347.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 136.27 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 262.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 139.80 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 76.60 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 66.43 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 39.70 Mn |
| 10 | Bark | 83.98 Mn | 7.93 Mn | 51.56 Mn | 1.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.65 Mn |
| Jun 30, 2026 | 1.81 Mn |
| Mar 31, 2026 | 1.90 Mn |
| Dec 31, 2025 | 2.09 Mn |
| Sep 30, 2025 | 2.58 Mn |
| Jun 30, 2025 | 2.52 Mn |
| Mar 31, 2025 | 2.84 Mn |
| Dec 31, 2024 | 2.70 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 3.70 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Sep 30, 2023 | 3.07 Mn |
| Jun 30, 2023 | 2.87 Mn |
| Mar 31, 2023 | 2.92 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 2.15 Mn |
| Jun 30, 2022 | 1.87 Mn |
| Mar 31, 2022 | 1.48 Mn |
| Dec 31, 2021 | 1.12 Mn |
Bark Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();