Reed'S, Inc. (REED) Accumulated Expenses (2010 - 2024)
Reed'S (REED) reported Accumulated Expenses of $984,000 for Q4 2024, down 10.2% from $1.1 million a year earlier and down 22.8% from the prior quarter.
Analysis
Reed'S, Inc. (REED) Accumulated Expenses (2010 - 2024) Analysis & Trends
Dating back to Q4 2010, Reed'S's Accumulated Expenses record includes 48 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 8.8% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $1.1 million in FY2023 (+370.4%), $233,000 in FY2022 (-18.5%), $286,000 in FY2021 (-68.0%) and $895,000 in FY2020 (+38.5%).
- Five-year quarterly Accumulated Expenses spans a low of $228,000 in Q3 2022 and a high of $1.27 million in Q3 2024.
- Year over year, Accumulated Expenses gained in five of the last seven quarters, with growth averaging 107.4%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2023 (growth of 370.4%); the low point was Q4 2021 (a decline of 68.0%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 984,000.00 |
| Sep 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 872,000.00 |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 873,000.00 |
| Jun 30, 2023 | 798,000.00 |
| Mar 31, 2023 | 467,000.00 |
| Dec 31, 2022 | 233,000.00 |
| Sep 30, 2022 | 228,000.00 |
| Jun 30, 2022 | 737,000.00 |
| Mar 31, 2022 | 689,000.00 |
| Dec 31, 2021 | 286,000.00 |
| Dec 31, 2020 | 895,000.00 |
| Sep 30, 2020 | 835,000.00 |
| Jun 30, 2020 | 555,000.00 |
| Mar 31, 2020 | 2.06 Mn |
| Dec 31, 2019 | 646,000.00 |
| Sep 30, 2019 | 2.29 Mn |
| Jun 30, 2019 | 1.77 Mn |
| Mar 31, 2019 | 1.99 Mn |
API Access
Reed'S, Inc. Accumulated Expenses 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=accumulated-expenses&ticker=REED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "REED", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=REED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();