Stem (STEM) Receivables (2020 - 2026)
Stem's Receivables was $35.82 million in Q2 2026, down 24.0% from $47.14 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Stem (STEM) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Stem came in at $41.05 million, down 63.3% from FY2024.
- Receivables shows a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- In earlier years, Receivables was $111.9 million in FY2024 (-77.3%), $493.08 million in FY2023 (+31.7%), $374.5 million in FY2022 (+406.7%) and $73.91 million in FY2021 (+439.7%).
- The Q2 2026 figure marks the lowest quarterly Receivables since Q3 2021.
- Compared with a year earlier, Receivables has declined for eight straight quarters, with an average decline of 54.7% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2021 (growth of 439.7%); the worst was Q2 2025 (a decline of 84.6%).
- Per Business Quant data, STEM's Receivables in the three quarters before Q2 2026 was $35.85 million (Q1 2026), $41.05 million (Q4 2025) and $38.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Stem | 43.72 Mn | -123.76 Mn | 13.89 Mn | 35.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.82 Mn |
| Mar 31, 2026 | 35.85 Mn |
| Dec 31, 2025 | 41.05 Mn |
| Sep 30, 2025 | 38.74 Mn |
| Jun 30, 2025 | 47.14 Mn |
| Mar 31, 2025 | 42.43 Mn |
| Dec 31, 2024 | 111.90 Mn |
| Sep 30, 2024 | 111.20 Mn |
| Jun 30, 2024 | 305.30 Mn |
| Mar 31, 2024 | 239.93 Mn |
| Dec 31, 2023 | 190.23 Mn |
| Sep 30, 2023 | 288.67 Mn |
| Jun 30, 2023 | 293.85 Mn |
| Mar 31, 2023 | 232.83 Mn |
| Dec 31, 2022 | 374.50 Mn |
| Sep 30, 2022 | 144.33 Mn |
| Jun 30, 2022 | 95.91 Mn |
| Mar 31, 2022 | 74.33 Mn |
| Dec 31, 2021 | 73.91 Mn |
| Sep 30, 2021 | 35.38 Mn |
API Access
Stem Receivables 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=receivables&ticker=STEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "STEM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=STEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();