Sentient Brands Holdings (SNBH) Depreciation and Depletion (2019 - 2026)
Sentient Brands Holdings (SNBH) posted Depreciation and Depletion of $2,577 for Q1 2026, up 165.9% from $969.00 a year earlier and up 58.1% from the prior quarter.
Sentient Brands Holdings (SNBH) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Depreciation and Depletion at Sentient Brands Holdings was $29,883, up 670.6% year-over-year; for FY2025, it was $28,276, up 629.1% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 41.3% (FY2020 to FY2025).
- In prior years, Sentient Brands Holdings' Depreciation and Depletion was $3,878 in FY2024 (unchanged), $3,878 in FY2023 (-6.8%), $4,163 in FY2022 (-17.1%) and $5,020 in FY2021 (unchanged).
- Quarterly Depreciation and Depletion has run from a low of -$1,663 in Q3 2022 to a high of $23,422 in Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in four of the last seven quarters, with growth averaging 52.4%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2022, with growth of 186.9%; the weakest was Q2 2023, with a decline of 73.1%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $1,630 (Q4 2025), $23,422 (Q3 2025) and $2,254 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Sentient Brands Holdings | 1.45 Mn | 1.31 Mn | 64,210.00 | 2,577.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2,577.00 |
| Dec 31, 2025 | 1,630.00 |
| Sep 30, 2025 | 23,422.00 |
| Jun 30, 2025 | 2,254.00 |
| Mar 31, 2025 | 969.00 |
| Dec 31, 2024 | 970.00 |
| Sep 30, 2024 | 970.00 |
| Jun 30, 2024 | 969.00 |
| Mar 31, 2024 | 969.00 |
| Dec 31, 2023 | 969.00 |
| Sep 30, 2023 | 970.00 |
| Jun 30, 2023 | 970.00 |
| Mar 31, 2023 | 969.00 |
| Dec 31, 2022 | 971.00 |
| Sep 30, 2022 | -1,663.00 |
| Jun 30, 2022 | 3,600.00 |
| Mar 31, 2022 | 1,255.00 |
| Dec 31, 2021 | 1,255.00 |
| Sep 30, 2021 | 1,255.00 |
| Jun 30, 2021 | 1,255.00 |
Sentient Brands Holdings Depreciation and Depletion 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-depletion&ticker=SNBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SNBH", "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-depletion&ticker=SNBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();