Bark (BARK) Selling, General & Administrative (2020 - 2026)
Bark (BARK) recorded Selling, General & Administrative of $47.77 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 16.6% from $57.25 million a year earlier and down 11.4% from the prior quarter.
Bark (BARK) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Bark's Selling, General & Administrative came in at $213.37 million as of Jun 30, 2026, down 13.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $222.85 million, down 12.0% from FY2025.
- Annual Selling, General & Administrative has declined for three straight fiscal years, though with a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $253.38 million in FY2025 (-5.6%), $268.39 million in FY2024 (-11.5%), $303.14 million in FY2023 (+0.4%) and $301.87 million in FY2022 (+68.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Selling, General & Administrative since fiscal Q2 2021.
- On a year-over-year basis, Selling, General & Administrative has declined for 14 consecutive quarters, with an average decline of 9.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 73.7% in fiscal Q2 2022, against a decline of 19.1% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $53.9 million (Q4 2026), $54.48 million (Q3 2026) and $57.22 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Bark | 84.47 Mn | -36.02 Mn | 57.33 Mn | 47.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.77 Mn |
| Mar 31, 2026 | 53.90 Mn |
| Dec 31, 2025 | 54.48 Mn |
| Sep 30, 2025 | 57.22 Mn |
| Jun 30, 2025 | 57.25 Mn |
| Mar 31, 2025 | 62.67 Mn |
| Dec 31, 2024 | 64.14 Mn |
| Sep 30, 2024 | 63.14 Mn |
| Jun 30, 2024 | 63.43 Mn |
| Mar 31, 2024 | 63.92 Mn |
| Dec 31, 2023 | 66.12 Mn |
| Sep 30, 2023 | 68.93 Mn |
| Jun 30, 2023 | 69.42 Mn |
| Mar 31, 2023 | 69.20 Mn |
| Dec 31, 2022 | 80.19 Mn |
| Sep 30, 2022 | 74.16 Mn |
| Jun 30, 2022 | 79.59 Mn |
| Mar 31, 2022 | 85.50 Mn |
| Dec 31, 2021 | 78.64 Mn |
| Sep 30, 2021 | 68.24 Mn |
Bark Selling, General & Administrative 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=selling-general-and-administrative&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();